{"meta":{"query_hash":"65a1969d4571","filters":{"venue":"Genomics and Applied Biology"},"cohort_total":56,"direct_labels_cover":0,"predictions_cover":56,"exported":56,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/65a1969d4571","api":"https://metacan.xera.ac/api/v1/cohort?venue=Genomics+and+Applied+Biology"},"results":[{"id":"W1581723664","doi":"10.5376/gab.2014.05.0002","title":"Expression Analysis of <i>Arabidopsis thaliana</i> Genes <i>ARGAH1</i>、<i>ARGAH2</i> and the Response to Sodium Chloride Stress During Seed Germination","year":2014,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Arabidopsis thaliana; Molecular biology; Gene; Chemistry; Biology; Biochemistry; Mutant","score_opus":0.009358715592286576,"score_gpt":0.20381040810325948,"score_spread":0.1944516925109729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1581723664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981784,0.0013809785,0.008447873,0.0002673432,0.00008377125,0.00006338504,0.0052806814,0.0002671964,0.0024247817],"genre_scores_gemma":[0.97411704,0.00063321437,0.0070613194,0.00022919281,0.000020563126,0.00013164461,0.007912519,0.00014483655,0.0097496305],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998615,0.000010183491,0.000011791873,0.000058053363,0.000032298776,0.000026116142],"domain_scores_gemma":[0.9998778,0.000019651165,0.000030654533,0.000012521717,0.000023332062,0.000035994875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009749583,0.00031654435,0.00023271635,0.00025386264,0.00018735888,0.00018884048,0.00017508038,0.00021624984,0.0008840889],"category_scores_gemma":[0.00008912706,0.00017147881,0.00035128268,0.00027219925,0.0002096267,0.00020384773,0.00011485461,0.00066852843,0.00046658624],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003666013,0.0000067373117,0.00015487087,0.000015499802,0.0000017351248,0.000023760615,0.000020406502,0.000019348956,0.99929726,0.00003739178,0.000032679167,0.0003535254],"study_design_scores_gemma":[0.000026974994,0.00023180865,0.03630287,0.000012465613,0.000040497856,0.00026567286,0.00015205935,0.0019358486,0.95593286,0.00010170203,0.0049761534,0.000021105603],"about_ca_topic_score_codex":0.0020354786,"about_ca_topic_score_gemma":0.0023513383,"teacher_disagreement_score":0.0020354786,"about_ca_system_score_codex":0.00047277508,"about_ca_system_score_gemma":0.00023435471,"threshold_uncertainty_score":0.0040472746},"labels":[],"label_agreement":null},{"id":"W1696437296","doi":"10.5376/gab.2015.06.0007","title":"The<i> Neurospora crassa cmd, trm-9, and nca-2 </i>Genes Play a Role in Growth, Development, and Survival in Stress conditions","year":2015,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Neurospora crassa; Gene; Biology; Cell biology; Genetics; Cancer research","score_opus":0.009098130135119278,"score_gpt":0.2173447094238657,"score_spread":0.2082465792887464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1696437296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.966704,0.00092505914,0.019188354,0.0005590474,0.00016648658,0.00016041305,0.0046536373,0.0017620026,0.0058809505],"genre_scores_gemma":[0.9606943,0.00043782755,0.020074181,0.00023238944,0.000015337353,0.00014407087,0.0052545895,0.00032069074,0.012826595],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999056,0.00000641381,0.000008335864,0.000036366106,0.000025355841,0.00001787586],"domain_scores_gemma":[0.9998179,0.000013957308,0.00006215515,0.0000302474,0.000017682181,0.00005812013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056024775,0.0006816458,0.000229778,0.00025640166,0.00023357886,0.00030361186,0.00041817117,0.00031380937,0.001716774],"category_scores_gemma":[0.00013018405,0.00022299627,0.00036686732,0.00020795625,0.0004777564,0.00017143597,0.00025613705,0.0008343427,0.0008699097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047152513,0.000011423146,0.00017937188,0.000014696539,0.0000029499452,0.00004635857,0.0000055852356,0.000033567994,0.9985636,0.00008766992,0.00008222047,0.00092545006],"study_design_scores_gemma":[0.000026299436,0.00007167599,0.01013074,0.000012007482,0.000024416058,0.0006061087,0.00003309976,0.001336434,0.9790364,0.00006417382,0.008645965,0.000012764041],"about_ca_topic_score_codex":0.0050835856,"about_ca_topic_score_gemma":0.0063071935,"teacher_disagreement_score":0.0050835856,"about_ca_system_score_codex":0.0010403601,"about_ca_system_score_gemma":0.000555019,"threshold_uncertainty_score":0.010107994},"labels":[],"label_agreement":null},{"id":"W1935885464","doi":"10.5376/gab.2014.05.0001","title":"Inhibition of microRNA-let-7a Increases the Specific Productivity of Antibody-Producing CHO Cell Lines","year":2014,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Chinese hamster ovary cell; microRNA; Productivity; Antibody; Cell culture; Biology; Computational biology; Chemistry; Immunology; Genetics; Gene; Economics","score_opus":0.006905928434159476,"score_gpt":0.22683524627325252,"score_spread":0.21992931783909306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1935885464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96468526,0.0025462427,0.02518337,0.00028965776,0.00019053444,0.00014502024,0.0011640902,0.00066913385,0.0051266323],"genre_scores_gemma":[0.9640138,0.001940697,0.026247967,0.00024828556,0.000023573171,0.0001945193,0.0023663586,0.00018255369,0.0047822455],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995745,0.0000549839,0.00008308365,0.00007959275,0.00014956211,0.00005835271],"domain_scores_gemma":[0.9997377,0.0000806022,0.000055867684,0.00004265355,0.000051237883,0.00003189106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044509897,0.0004726627,0.00048882276,0.00027714833,0.00017842503,0.000644919,0.00039131142,0.00046079233,0.0010116526],"category_scores_gemma":[0.00038115765,0.0002272621,0.00053409714,0.00022009225,0.00024167755,0.0002563083,0.00035048887,0.00086437754,0.00059356866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019686477,0.0000122212095,0.00006565652,0.000021657333,0.0000052634,0.000016458614,0.000011013159,0.000032862292,0.99915195,0.000057170266,0.000028012457,0.00057808106],"study_design_scores_gemma":[0.000004883029,0.00010075922,0.000505021,0.0000021732299,0.000013929172,0.000057148998,0.000008072911,0.0006778384,0.9967981,0.000018392453,0.0018108826,0.0000027687668],"about_ca_topic_score_codex":0.0006098069,"about_ca_topic_score_gemma":0.00087407907,"teacher_disagreement_score":0.0010116526,"about_ca_system_score_codex":0.00034578418,"about_ca_system_score_gemma":0.00032684839,"threshold_uncertainty_score":0.0033842921},"labels":[],"label_agreement":null},{"id":"W2123999911","doi":"10.5376/gab.2013.04.0005","title":"Combining Ability Analysis for Seed Cotton Yield (Kapas Yield) and Its Components in Intra Hirsutum Hybrids and Forming Heterotic Boxes for Exploitation in Cotton","year":2013,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Research in Cotton Cultivation","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hybrid; Yield (engineering); Heterotic string theory; Agronomy; Gossypium hirsutum; Biology; Mathematics; Materials science; Composite material","score_opus":0.0773199604211099,"score_gpt":0.2674969368239507,"score_spread":0.1901769764028408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123999911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996767,0.000027037755,0.00012644182,0.0000016146773,4.2359775e-7,0.0000032888533,0.000035064848,0.0000037883906,0.00012556677],"genre_scores_gemma":[0.99914515,0.000022158723,0.0003193415,0.0000032753794,7.686572e-7,0.000008272778,0.0001501265,0.000004420605,0.0003464676],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976844,0.000051122024,0.000019108482,0.00006395514,0.0000665086,0.00003086552],"domain_scores_gemma":[0.9995453,0.000109373614,0.00016048847,0.00003712183,0.000051707666,0.00009600786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028213547,0.00023826917,0.00023851622,0.0007197192,0.00018484237,0.00020401261,0.0001289251,0.00011326192,0.0007375171],"category_scores_gemma":[0.00035105454,0.0001295163,0.00027286026,0.0003846036,0.00014750194,0.00010654128,0.00019547423,0.00025745746,0.0001523799],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068984315,0.00018518,0.14920454,0.000037415073,0.000072419665,0.00035899365,0.00042163595,0.00019819528,0.83954644,0.00004624355,0.00002870298,0.009210316],"study_design_scores_gemma":[0.0000031633967,0.00054738985,0.98654735,0.0000016192529,0.000023084445,0.00018072086,0.00012595623,0.0002165699,0.012222345,0.000010601759,0.00011299821,0.000008199619],"about_ca_topic_score_codex":0.0015615552,"about_ca_topic_score_gemma":0.003074373,"teacher_disagreement_score":0.0015615552,"about_ca_system_score_codex":0.0002324026,"about_ca_system_score_gemma":0.00013858076,"threshold_uncertainty_score":0.0031049848},"labels":[],"label_agreement":null},{"id":"W2132171679","doi":"10.5376/gab.2010.01.0004","title":"The Development of a Multiplex Reverse Transcription Polymerase Chain Reaction for Detection of Porcine Reproductive and Respiratory","year":2010,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Animal Virus Infections Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multiplex; Reverse transcription polymerase chain reaction; Multiplex polymerase chain reaction; Polymerase chain reaction; Reverse transcriptase; Real-time polymerase chain reaction; Biology; Molecular biology; Computational biology; Genetics; Gene; Messenger RNA","score_opus":0.024917772862974332,"score_gpt":0.2286237235905856,"score_spread":0.20370595072761127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132171679","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.115846395,0.0031411485,0.87544113,0.00026857483,0.0005957542,0.0011435497,0.00068510516,0.0012349164,0.0016434953],"genre_scores_gemma":[0.15044522,0.001486677,0.8426304,0.00021471847,0.00013103217,0.0016727214,0.00092298345,0.000077137964,0.0024191127],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99713,0.0006121497,0.00024523368,0.0010989939,0.0007309033,0.00018270785],"domain_scores_gemma":[0.99876803,0.00047211198,0.00021135891,0.00012625464,0.0003219266,0.00010029026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030169238,0.0017159979,0.0010638818,0.00140333,0.0003620426,0.0008616635,0.0008866514,0.0011687318,0.0012057159],"category_scores_gemma":[0.0020296914,0.0010961744,0.0008398464,0.00044533322,0.0006211696,0.00096827105,0.0006228063,0.001575737,0.0008648534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011366179,0.00008806016,0.0007918078,0.00016412139,0.000025611012,0.00012755461,0.00007320976,0.00036249444,0.975832,0.00040481967,0.00014349532,0.021873165],"study_design_scores_gemma":[0.00008989637,0.0014234887,0.0019275026,0.000054080672,0.00014702782,0.0014456993,0.00006717374,0.020965092,0.961373,0.0005906575,0.011839638,0.0000768423],"about_ca_topic_score_codex":0.00021846106,"about_ca_topic_score_gemma":0.0004221578,"teacher_disagreement_score":0.0030169238,"about_ca_system_score_codex":0.00047819313,"about_ca_system_score_gemma":0.0007093036,"threshold_uncertainty_score":0.01595521},"labels":[],"label_agreement":null},{"id":"W2160587671","doi":"10.5376/gab.2013.04.0004","title":"Relationship between SSR- Based Molecular Marker and Cotton F<SUB>1</SUB> Inter Specific Hybrids Performance for Seed Cotton Yield and Fiber Properties","year":2013,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Research in Cotton Cultivation","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hybrid; Yield (engineering); Fiber; Agronomy; Biology; Horticulture; Mathematics; Chemistry; Materials science; Composite material","score_opus":0.04769484085430797,"score_gpt":0.22302932494239736,"score_spread":0.17533448408808938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160587671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995474,0.00004289097,0.00016669267,0.0000057134207,0.0000011071936,0.0000013065765,0.00007738478,0.0000039248034,0.00015357108],"genre_scores_gemma":[0.9992126,0.000032862343,0.00035010139,0.0000038371177,0.0000010327384,0.000002045811,0.00018039557,0.0000028904622,0.00021404144],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977463,0.000041162424,0.00002069903,0.000071786424,0.00005644961,0.000035227466],"domain_scores_gemma":[0.9992925,0.00021764649,0.00030270728,0.000038802176,0.000063131294,0.000085226224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031526704,0.00023019397,0.00013050981,0.00045176066,0.00014927582,0.0002452916,0.00010552019,0.00015415672,0.0008342146],"category_scores_gemma":[0.0005968206,0.00012146438,0.00012062904,0.00027044487,0.00012605739,0.00010612627,0.00011749347,0.00029262895,0.00018827936],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059568265,0.00014055369,0.4437049,0.00003505973,0.000145096,0.00034266518,0.00028270826,0.00042254955,0.5398084,0.00008421893,0.00012336412,0.014314823],"study_design_scores_gemma":[0.000005247894,0.00031066808,0.9797793,0.0000041668513,0.000059439757,0.00045662685,0.00012065208,0.0006344335,0.018241357,0.000024846231,0.00035520951,0.000008106445],"about_ca_topic_score_codex":0.0011129386,"about_ca_topic_score_gemma":0.0036188045,"teacher_disagreement_score":0.0011129386,"about_ca_system_score_codex":0.00014281891,"about_ca_system_score_gemma":0.00010015966,"threshold_uncertainty_score":0.002790749},"labels":[],"label_agreement":null},{"id":"W2300335133","doi":"10.5376/gab.2015.06.0010","title":"Investigation of PVL and MecA Gene Locies in Methicillin-Resistant<i> Staphylococcus aureus</i> (MRSA) Strains Isolated from Nosocomial Samples of Hospital Patients and Hospital Staff","year":2015,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Antimicrobial Resistance in Staphylococcus","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Staphylococcus aureus; Methicillin-resistant Staphylococcus aureus; Medicine; Microbiology; SCCmec; Biology; Bacteria; Genetics","score_opus":0.018737885325838664,"score_gpt":0.23351979822466637,"score_spread":0.2147819128988277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300335133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990145,0.00031838904,0.00022899483,0.000030413927,0.0000048824654,0.000007889731,0.00020960048,0.0000060933635,0.00017920592],"genre_scores_gemma":[0.9982698,0.00021783283,0.0006164962,0.00003472081,0.00001204526,0.00001950479,0.00050801184,0.0000041436115,0.00031755667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996014,0.00006003224,0.000047658363,0.00012839958,0.00009569385,0.00006678902],"domain_scores_gemma":[0.9990331,0.00020742633,0.00043989782,0.00003570412,0.00018549386,0.00009826714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021575083,0.00027603286,0.00020035169,0.0010949152,0.00022751988,0.00034184504,0.00018262293,0.00032371507,0.0011293407],"category_scores_gemma":[0.0011914241,0.00018396306,0.00019278146,0.0005408187,0.00031714817,0.0002151438,0.0002158679,0.00024705732,0.00029627528],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031481948,0.0001266581,0.78087485,0.00019646884,0.00006564133,0.0012400822,0.0010035435,0.00006887772,0.20426056,0.000045253768,0.0001689766,0.011634261],"study_design_scores_gemma":[0.0000151652175,0.0006676675,0.95075876,0.00004689186,0.00007181577,0.006881728,0.0011555634,0.0004398779,0.038643125,0.00005223109,0.0012533508,0.000013921591],"about_ca_topic_score_codex":0.0007620001,"about_ca_topic_score_gemma":0.000740106,"teacher_disagreement_score":0.0011293407,"about_ca_system_score_codex":0.00013248478,"about_ca_system_score_gemma":0.00013009159,"threshold_uncertainty_score":0.0037779808},"labels":[],"label_agreement":null},{"id":"W2418566868","doi":"10.5376/gab.2016.07.0013","title":"Fruit attributes, phyto-nutrients profiles and antioxidant activity of Noni (<i>Morinda citrifolia</i> L.) genotypes in Andaman Islands","year":2016,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Morinda citrifolia extract uses","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Morinda; Carotenoid; Ascorbic acid; Tannin; Chemistry; Antioxidant; Polyphenol; Micronutrient; Food science; Vitamin C; Traditional medicine; Medicine; Biochemistry","score_opus":0.015068913944500294,"score_gpt":0.2430088678145312,"score_spread":0.2279399538700309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2418566868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996476,0.00006161963,0.0000534239,0.000005075336,5.297823e-7,0.0000017047374,0.00010505208,0.0000026272528,0.00012238664],"genre_scores_gemma":[0.99867636,0.00007463279,0.00039747084,0.000013185184,7.1197104e-7,0.0000083126515,0.0003440635,0.000006097695,0.00047908415],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999242,0.000008638642,0.000008633256,0.000029134102,0.000014431149,0.000014974413],"domain_scores_gemma":[0.9998921,0.000015974256,0.000038614282,0.000010826189,0.000020765488,0.000021716807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012200799,0.00027346186,0.00029132282,0.0005060869,0.00021965851,0.00032447826,0.00021137667,0.00015245314,0.00051973073],"category_scores_gemma":[0.00015699868,0.00012889657,0.00023971016,0.0003092616,0.00015485578,0.00013280136,0.00021102003,0.00022898278,0.00007890933],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008017621,0.0001356458,0.20974079,0.00011554873,0.0001606276,0.0006056345,0.0010266171,0.00019278254,0.77392435,0.00011956175,0.00012259543,0.013054114],"study_design_scores_gemma":[0.0000061299197,0.000109603745,0.9909792,0.000004793558,0.000050526865,0.0001920931,0.00033516873,0.000169951,0.0076886606,0.000023036173,0.0004323711,0.000008478812],"about_ca_topic_score_codex":0.020620916,"about_ca_topic_score_gemma":0.03959053,"teacher_disagreement_score":0.020620916,"about_ca_system_score_codex":0.00041463834,"about_ca_system_score_gemma":0.00016229972,"threshold_uncertainty_score":0.041001797},"labels":[],"label_agreement":null},{"id":"W2519304522","doi":"10.5376/gab.2016.07.0001","title":"Delayed Transplanting of Aged Rice Seedlings Causes the Yield Reduction in Farmer's Field","year":2016,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transplanting; Yield (engineering); Reduction (mathematics); Agronomy; Field (mathematics); Biology; Horticulture; Mathematics; Sowing; Materials science","score_opus":0.019094979200842115,"score_gpt":0.2086779574445338,"score_spread":0.1895829782436917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519304522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995347,0.0000881542,0.00011025288,0.000022313523,0.000004148431,0.0000056485683,0.000044760305,0.0000097309285,0.00018028807],"genre_scores_gemma":[0.9980381,0.00009980274,0.00026342212,0.000061720864,0.0000027950066,0.000017623102,0.00013521248,0.000004636412,0.0013767105],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998809,0.000014305791,0.000010504548,0.00003993891,0.000024787332,0.00002953703],"domain_scores_gemma":[0.9995055,0.00008840141,0.0001710491,0.00004503259,0.000055284116,0.0001346275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016495703,0.00018888045,0.000251913,0.00016456915,0.00023272076,0.00022366681,0.0002812304,0.00022356339,0.0010880682],"category_scores_gemma":[0.0002304942,0.00013459547,0.00022516825,0.0001407825,0.00018276961,0.00022873469,0.00026275462,0.0005287253,0.00012985637],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000606208,0.00029329263,0.01890111,0.00010403388,0.000022694709,0.00078656396,0.00020591445,0.00008184643,0.97458017,0.000046812882,0.000104800354,0.0042665587],"study_design_scores_gemma":[0.000041047846,0.0069216746,0.81224465,0.000017560256,0.00008484806,0.0010974581,0.0010101236,0.0005496,0.17476146,0.00015743803,0.0030766353,0.00003737916],"about_ca_topic_score_codex":0.0019328365,"about_ca_topic_score_gemma":0.004863795,"teacher_disagreement_score":0.0019328365,"about_ca_system_score_codex":0.00035984485,"about_ca_system_score_gemma":0.00028517298,"threshold_uncertainty_score":0.0038431883},"labels":[],"label_agreement":null},{"id":"W2520357693","doi":"10.5376/gab.2016.07.0005","title":"Research on HBV Gene Integration into Host Genome that is Related to HBV DR Region","year":2016,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Hepatitis B Virus Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Virology; Host (biology); Gene; Genome; Biology; Hepatitis B virus; Genetics; Computational biology; Virus","score_opus":0.07328945686304728,"score_gpt":0.3423525875325017,"score_spread":0.2690631306694544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520357693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85988694,0.088872194,0.033086527,0.0009243058,0.00025539493,0.00014465554,0.0006477493,0.00023891142,0.015943378],"genre_scores_gemma":[0.9101901,0.058639113,0.015251807,0.00045468565,0.000097533906,0.0000997611,0.0018485697,0.00007877375,0.013339539],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997359,0.000040748,0.000022702832,0.00007195663,0.00009333423,0.000035418412],"domain_scores_gemma":[0.99983287,0.00003309813,0.00003698044,0.000016239033,0.00005324366,0.000027559216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045333285,0.00026049744,0.00033579915,0.0006264377,0.0002494246,0.00045004886,0.0001742397,0.00038859234,0.0017265743],"category_scores_gemma":[0.00041122257,0.0001886436,0.00032046778,0.00058145286,0.00022575812,0.0005993933,0.0002439919,0.00063787604,0.0005310493],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017573158,0.000101344776,0.0057142735,0.00068616477,0.000029518846,0.0004819124,0.00027267906,0.00011665502,0.9561116,0.0016610749,0.00026662115,0.034382366],"study_design_scores_gemma":[0.00006329126,0.0015583748,0.03993435,0.00023545405,0.00022953171,0.006076576,0.00043356465,0.0016900294,0.88205403,0.0010788763,0.06661098,0.00003498951],"about_ca_topic_score_codex":0.00061170344,"about_ca_topic_score_gemma":0.00035261456,"teacher_disagreement_score":0.0017265743,"about_ca_system_score_codex":0.00035594846,"about_ca_system_score_gemma":0.00030797906,"threshold_uncertainty_score":0.0057759285},"labels":[],"label_agreement":null},{"id":"W2783557730","doi":"10.5376/gab.2018.09.0001","title":"Research Progress of Marinobufagenin and Salt-Sensitive Hypertension","year":2018,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Sodium Intake and Health","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Chemistry; Pharmacology; Medicine","score_opus":0.058663896108565636,"score_gpt":0.343321391004521,"score_spread":0.2846574948959554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783557730","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010182594,0.9774825,0.0014492603,0.0051970812,0.0009930534,0.000008679696,0.000046481244,0.000021619559,0.0046188324],"genre_scores_gemma":[0.049322683,0.9428535,0.0012514797,0.0013669638,0.0028884127,0.000014348189,0.000081169586,0.0000069567636,0.002214478],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971765,0.000063787986,0.0000349615,0.000077203345,0.00006701565,0.000039472696],"domain_scores_gemma":[0.9994203,0.0002048769,0.00010374371,0.000020817022,0.00015560993,0.000094670126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007828403,0.00039530525,0.00058228866,0.0013908817,0.00033971318,0.001079267,0.00042834604,0.00084623665,0.0026981812],"category_scores_gemma":[0.00081789773,0.00014387303,0.00048963283,0.001683022,0.0007596304,0.0015880482,0.00066158327,0.0012249063,0.00044360416],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006395893,0.00037482908,0.02114034,0.010788393,0.00030975274,0.002159339,0.0013225315,0.00049247127,0.019049566,0.027911687,0.019820962,0.8959905],"study_design_scores_gemma":[0.00009722128,0.0011221826,0.06471555,0.0049480395,0.0011187876,0.008531624,0.0029326244,0.0016628033,0.012390124,0.04127129,0.8610603,0.00014949439],"about_ca_topic_score_codex":0.0013954671,"about_ca_topic_score_gemma":0.0015703308,"teacher_disagreement_score":0.0026981812,"about_ca_system_score_codex":0.0005408095,"about_ca_system_score_gemma":0.0017352824,"threshold_uncertainty_score":0.009026349},"labels":[],"label_agreement":null},{"id":"W2789330929","doi":"10.5376/gab.2017.08.0004","title":"The Important Role of the Citric Acid Cycle in Plants","year":2017,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Citric acid; Chemistry; Business; Biochemistry","score_opus":0.0033406490047116753,"score_gpt":0.19363403663276893,"score_spread":0.19029338762805725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789330929","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03323756,0.94197756,0.008436961,0.0015730849,0.00041134583,0.000015667194,0.00035031213,0.00013425136,0.01386317],"genre_scores_gemma":[0.4237993,0.5620593,0.005630195,0.0009575608,0.0005039655,0.000025548592,0.000581671,0.00004043024,0.0064019803],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998975,0.000013793614,0.00000728506,0.000038255537,0.000025017249,0.000018164075],"domain_scores_gemma":[0.99995196,0.0000095176265,0.000009162357,0.0000034459879,0.000013316259,0.000012545703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013605216,0.00033771418,0.00029375346,0.00036458223,0.0003124299,0.0006569652,0.00019029644,0.00041650762,0.0010001041],"category_scores_gemma":[0.00008855894,0.00011082042,0.00015211989,0.00030145413,0.0003329853,0.00052404363,0.00044933107,0.0006372271,0.0005162536],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025848518,0.000035605306,0.0011745914,0.0042627323,0.000056922137,0.0008019874,0.0002665204,0.0011088292,0.7271662,0.020267637,0.0036045662,0.24099599],"study_design_scores_gemma":[0.000025002933,0.00037897975,0.014475116,0.0007864747,0.000118902746,0.0039935126,0.00036662506,0.0007180875,0.1823999,0.02452184,0.7721222,0.000093356495],"about_ca_topic_score_codex":0.0006274526,"about_ca_topic_score_gemma":0.0005407873,"teacher_disagreement_score":0.0010001041,"about_ca_system_score_codex":0.00043509583,"about_ca_system_score_gemma":0.00045543053,"threshold_uncertainty_score":0.0033456683},"labels":[],"label_agreement":null},{"id":"W2885222641","doi":"10.5376/gab.2018.09.0005","title":"Genome Wide Identification and Analysis of <i>TRK</i> Gene Family in <i>Aspergillus niger</i","year":2018,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Aspergillus niger; Gene; Identification (biology); Trk receptor; Biology; Genetics; Genome; Biotechnology; Botany","score_opus":0.010914703689621887,"score_gpt":0.20541270477079682,"score_spread":0.19449800108117493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885222641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9601556,0.002291132,0.0076821814,0.0002690358,0.00005690626,0.00008808411,0.026530743,0.00032395418,0.0026023304],"genre_scores_gemma":[0.91252095,0.001954618,0.019827943,0.00028797865,0.00003025432,0.00014443843,0.06013506,0.0001135384,0.0049852077],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99987316,0.000008322835,0.0000118500575,0.000054044653,0.000030708725,0.000021931182],"domain_scores_gemma":[0.999902,0.000011706229,0.000029754874,0.000008844959,0.000018171919,0.000029458099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012251723,0.0002547136,0.0002772596,0.0007609236,0.00027382685,0.00029912827,0.00018684793,0.00022903935,0.0010170257],"category_scores_gemma":[0.00012843135,0.000112849775,0.00055446743,0.00090662914,0.00013280871,0.000121055054,0.00018158821,0.00039044154,0.0004340041],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039006356,0.00005434543,0.02114678,0.00024979474,0.00008979491,0.00081714144,0.00010569977,0.00026511715,0.9607652,0.0003129458,0.0021063383,0.013696764],"study_design_scores_gemma":[0.00010334456,0.00032700913,0.7762802,0.00011363069,0.00038693816,0.00406847,0.00039029928,0.005780675,0.1727461,0.0005005915,0.03924526,0.000057379213],"about_ca_topic_score_codex":0.0030444,"about_ca_topic_score_gemma":0.0035837304,"teacher_disagreement_score":0.0030444,"about_ca_system_score_codex":0.00021160996,"about_ca_system_score_gemma":0.00023122804,"threshold_uncertainty_score":0.0060533285},"labels":[],"label_agreement":null},{"id":"W3141698439","doi":"10.5376/gab.2020.11.0001","title":"A Comparison of Function Annotation Methods over Multiple Meta-omics Data of Microbiota","year":2020,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Annotation; Omics; Function (biology); Computational biology; Biology; Computer science; Bioinformatics; Evolutionary biology","score_opus":0.07599712257219587,"score_gpt":0.3374107026608576,"score_spread":0.2614135800886617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141698439","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88823014,0.006896806,0.08351565,0.0006876111,0.00027528167,0.00015551072,0.013038815,0.0033952382,0.0038049314],"genre_scores_gemma":[0.84267956,0.0019754737,0.121161364,0.0002577146,0.00008435678,0.00014700541,0.030873312,0.0009974095,0.0018237418],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9966215,0.0012106518,0.00030776364,0.00068723696,0.00094763294,0.00022532966],"domain_scores_gemma":[0.9869587,0.008823421,0.0006154277,0.001228664,0.0020251179,0.00034866403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008462987,0.0011765884,0.00085439195,0.0048198723,0.00091216597,0.0022571953,0.00087168417,0.00087575766,0.001269749],"category_scores_gemma":[0.015253269,0.00027519622,0.0018230522,0.0030045786,0.00030450645,0.0018633166,0.0012413687,0.0007168299,0.0007878176],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010554725,0.0009267139,0.19923797,0.003912389,0.005357716,0.00046632515,0.0014760076,0.03156578,0.20605396,0.002075734,0.009405175,0.52896756],"study_design_scores_gemma":[0.00039545898,0.00198873,0.423129,0.0008384855,0.002866603,0.0014729645,0.0028307484,0.43058267,0.10390346,0.008295835,0.023343967,0.00035204666],"about_ca_topic_score_codex":0.0039753746,"about_ca_topic_score_gemma":0.0066644666,"teacher_disagreement_score":0.008462987,"about_ca_system_score_codex":0.0007086533,"about_ca_system_score_gemma":0.0012880021,"threshold_uncertainty_score":0.04475707},"labels":[],"label_agreement":null},{"id":"W4328010618","doi":"10.5376/gab.2023.14.0001","title":"Characteristics of <i>LDOX</i> Gene Structure Analysis and Construction of Protein Interaction Network in <i>Actinidia arguta</i>","year":2023,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biology; Biochemistry; Transmembrane domain; Gene","score_opus":0.005503018680423056,"score_gpt":0.21328456798511566,"score_spread":0.20778154930469261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4328010618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99355775,0.000092213595,0.0034283327,0.000035516976,0.0000035507578,0.000012944618,0.0018804676,0.00012447358,0.0008647062],"genre_scores_gemma":[0.9852593,0.00011361696,0.0067296536,0.000035556735,0.0000054013153,0.000038483417,0.0053541204,0.000058581012,0.0024052896],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999403,0.0000021594997,0.0000035620635,0.000026789032,0.000016218117,0.000010951209],"domain_scores_gemma":[0.9999131,0.000011636436,0.000034348348,0.000005774909,0.000014581531,0.00002062532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004014967,0.00015541477,0.00012665283,0.00045773224,0.00021091844,0.00019559037,0.00009968182,0.000120275516,0.0011651991],"category_scores_gemma":[0.0001220578,0.00008169022,0.00018584421,0.0004901619,0.000112624984,0.00012059626,0.00009697132,0.00021079481,0.00028759483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011975725,0.000028801087,0.01707135,0.000049987375,0.00000858676,0.00038827298,0.00006579884,0.00046386773,0.97513163,0.00020790249,0.00024886348,0.0062152003],"study_design_scores_gemma":[0.00002385342,0.00013474503,0.5993434,0.000016175349,0.000056898636,0.0019678331,0.00029940455,0.021827834,0.36582905,0.0006203209,0.009852989,0.000027366395],"about_ca_topic_score_codex":0.0021383334,"about_ca_topic_score_gemma":0.0021196664,"teacher_disagreement_score":0.0021383334,"about_ca_system_score_codex":0.00019901416,"about_ca_system_score_gemma":0.00013388696,"threshold_uncertainty_score":0.0042517185},"labels":[],"label_agreement":null},{"id":"W4362502970","doi":"10.5376/gab.2023.14.0002","title":"Identification of COR413 Gene Family in Peach and Its Expression in Low Temperature and LTC Treatment at Postharvest","year":2023,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Research on scale insects","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Zhejiang University","keywords":"Postharvest; Horticulture; Biology; Subfamily; Methyl jasmonate; Gene; Abscisic acid; Browning; Botany; Gene family; Gene expression; Genetics","score_opus":0.02621206130155665,"score_gpt":0.25421134152582003,"score_spread":0.22799928022426338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362502970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99484813,0.00085172406,0.0014514162,0.000089340945,0.000023121213,0.000023204691,0.0016826665,0.000113136106,0.0009171574],"genre_scores_gemma":[0.98328227,0.00042688532,0.0024864406,0.00016916158,0.0000140539705,0.0000566455,0.007100897,0.000044634005,0.006419009],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990845,0.0000041489097,0.0000045224024,0.000041429095,0.00001742758,0.000024058154],"domain_scores_gemma":[0.9999118,0.000009371185,0.000019773313,0.000008637332,0.000020230413,0.000030160365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005884329,0.00030940375,0.0002650172,0.0003774443,0.0004076454,0.00019015277,0.00011900758,0.00027797793,0.0013479128],"category_scores_gemma":[0.00009560143,0.00014873121,0.00052627287,0.00037968394,0.00020963451,0.00017500395,0.00021630841,0.00037787305,0.00033741907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000733912,0.000007600409,0.0015541208,0.0000336664,0.0000031249301,0.00017057147,0.00004740797,0.000023472834,0.99697125,0.000034033743,0.00006926131,0.001012029],"study_design_scores_gemma":[0.00005449304,0.00034586774,0.63275474,0.000026493179,0.00007281738,0.0024063864,0.00043360062,0.0024632746,0.35156593,0.0002775801,0.009560157,0.000038675826],"about_ca_topic_score_codex":0.0037648736,"about_ca_topic_score_gemma":0.0040381067,"teacher_disagreement_score":0.0037648736,"about_ca_system_score_codex":0.00044400647,"about_ca_system_score_gemma":0.00030846364,"threshold_uncertainty_score":0.007485926},"labels":[],"label_agreement":null},{"id":"W4390475449","doi":"10.5376/gab.2024.15.0001","title":"The Interplay between Bird Migration Behavior and Genetic Diversity","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Adaptability; Genetic diversity; Diversity (politics); Biodiversity; Ecology; Prosperity; Climate change; Adaptation (eye); Habitat; Biology; Geography; Evolutionary biology; Political science; Population; Sociology; Economic growth; Demography; Economics","score_opus":0.017364042464616206,"score_gpt":0.24551187691335694,"score_spread":0.22814783444874073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390475449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92231154,0.058986202,0.0067414064,0.0014952933,0.00012315647,0.00001807789,0.00042907562,0.000030056506,0.009865196],"genre_scores_gemma":[0.9788698,0.018138455,0.0016622313,0.00023807626,0.000068417365,0.000010031896,0.00017928366,0.00000778619,0.00082590873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976736,0.00008730084,0.000015213917,0.00006686079,0.000033830827,0.000029342602],"domain_scores_gemma":[0.9994667,0.0002450393,0.00015674409,0.000018356573,0.00006222404,0.000050962728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038964415,0.00014138735,0.00022046821,0.00044508898,0.0001649874,0.0005791307,0.00014633623,0.00023476731,0.0006526793],"category_scores_gemma":[0.0011287776,0.00007641233,0.0002101354,0.00052891934,0.0003828612,0.00036969624,0.0002407723,0.0002658417,0.000096310854],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016471796,0.00005975734,0.68719053,0.0014454189,0.0011960294,0.00083641306,0.001819582,0.004157526,0.02954277,0.0072414973,0.0013873542,0.26495832],"study_design_scores_gemma":[0.0000028413704,0.0000789501,0.9874697,0.000107024855,0.000110711,0.00040483603,0.00045198505,0.00060135586,0.00053689396,0.0026330145,0.0075827455,0.000019908688],"about_ca_topic_score_codex":0.0024570627,"about_ca_topic_score_gemma":0.004305751,"teacher_disagreement_score":0.0024570627,"about_ca_system_score_codex":0.0002257904,"about_ca_system_score_gemma":0.00021837944,"threshold_uncertainty_score":0.0048855543},"labels":[],"label_agreement":null},{"id":"W4394772631","doi":"10.5376/gab.2024.15.0002","title":"A New Chapter in Sugarcane Genomics: Constructing the R570 Reference Genome and the Future of Agricultural Biotechnology","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Sugarcane Cultivation and Processing","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Polyploid; Saccharum; Biotechnology; Saccharum officinarum; Biology; Genome; Crop; Agriculture; Genomics; Agronomy; Genetics; Gene; Ecology","score_opus":0.01462981725364934,"score_gpt":0.2052231982383311,"score_spread":0.19059338098468176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394772631","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019509343,0.43702987,0.284805,0.13104685,0.05263676,0.00035614165,0.0047816173,0.008201999,0.061632525],"genre_scores_gemma":[0.055453453,0.32407883,0.4399813,0.045741104,0.014266198,0.00040401504,0.013359923,0.004285371,0.10242986],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989015,0.00019459584,0.00007402131,0.00021156463,0.00050420046,0.000114035254],"domain_scores_gemma":[0.99793506,0.00087287853,0.00012942804,0.00023418004,0.0005887241,0.00023971881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047376165,0.0007530216,0.0011138614,0.001490955,0.0008961304,0.00308826,0.0014687742,0.002530785,0.010445313],"category_scores_gemma":[0.0037075204,0.00045757453,0.00077663886,0.0026333167,0.0015295378,0.006433053,0.0013417362,0.0048155375,0.004091247],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019266312,0.00009425645,0.0004202218,0.0015726377,0.000044920926,0.0003100475,0.00067850866,0.0009480209,0.088637546,0.028926326,0.19733351,0.68084127],"study_design_scores_gemma":[0.000017605751,0.0001338538,0.0006395329,0.00028774468,0.000027827256,0.00032739888,0.00021404262,0.0007855343,0.011843317,0.01113344,0.974531,0.000058782854],"about_ca_topic_score_codex":0.004613109,"about_ca_topic_score_gemma":0.0064632813,"teacher_disagreement_score":0.010445313,"about_ca_system_score_codex":0.0018823759,"about_ca_system_score_gemma":0.003083012,"threshold_uncertainty_score":0.034943104},"labels":[],"label_agreement":null},{"id":"W4394861775","doi":"10.5376/gab.2024.15.0003","title":"Genome-wide Association Studies of Disease Resistance Genes in Maize","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Biotechnology Research Institute","funders":"","keywords":"Genome-wide association study; Biology; Biotechnology; Plant disease resistance; Disease; Identification (biology); Resistance (ecology); Association mapping; Genetic association; Genetics; Gene; Single-nucleotide polymorphism; Agronomy; Medicine; Genotype","score_opus":0.012935486862831214,"score_gpt":0.23784498460486653,"score_spread":0.2249094977420353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394861775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9805982,0.013734361,0.0025144243,0.00033102918,0.000044503213,0.000019440306,0.0012770208,0.000029874964,0.0014512001],"genre_scores_gemma":[0.9927798,0.00403783,0.0019727706,0.00008723007,0.000034906454,0.0000134430775,0.00067357626,0.000013228365,0.00038708642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990871,0.0002475392,0.000101696525,0.0003228009,0.00015223262,0.00008865274],"domain_scores_gemma":[0.99903893,0.00041877065,0.00030775962,0.00007785687,0.00006445402,0.00009227701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014035886,0.00024610283,0.0002913123,0.001930653,0.0004045499,0.00055775064,0.0002513298,0.00037420067,0.0011212453],"category_scores_gemma":[0.0015050526,0.00012614684,0.0009489282,0.0035139818,0.0002851477,0.00020359812,0.00046288103,0.0003461985,0.00011924761],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013610288,0.00006889311,0.89648324,0.0004644778,0.004220247,0.001472077,0.0005006243,0.00064167386,0.059513744,0.0014310976,0.0006597108,0.033183154],"study_design_scores_gemma":[0.000026321779,0.000058923106,0.99471515,0.000022653017,0.00081005454,0.0003440242,0.00009699966,0.00027111193,0.0011593435,0.00026612365,0.0022181,0.0000111660665],"about_ca_topic_score_codex":0.0035992586,"about_ca_topic_score_gemma":0.00590621,"teacher_disagreement_score":0.0035992586,"about_ca_system_score_codex":0.0002888429,"about_ca_system_score_gemma":0.00035989683,"threshold_uncertainty_score":0.0074229836},"labels":[],"label_agreement":null},{"id":"W4394861867","doi":"10.5376/gab.2024.15.0004","title":"Portable Nanopore Sequencing Technology: A Revolutionary Progress in Bioinformatics","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Software portability; Nanopore sequencing; Data science; Nanopore; Computer science; DNA sequencing; Engineering; Biology","score_opus":0.007246226862724844,"score_gpt":0.1998352698412588,"score_spread":0.19258904297853396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394861867","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029699534,0.12656587,0.80703425,0.01267591,0.0020311885,0.00020059386,0.0007762774,0.0025363583,0.018479966],"genre_scores_gemma":[0.197705,0.15999234,0.6235421,0.0054339278,0.002409732,0.0003109126,0.0010372464,0.00045157233,0.009117203],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99860185,0.0003987662,0.00006669545,0.00028281746,0.000547853,0.000102025595],"domain_scores_gemma":[0.9978592,0.0012296974,0.00015473164,0.00018888277,0.0004136087,0.00015382559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024089622,0.0007028761,0.0009368454,0.0015037218,0.0007069831,0.0017674572,0.0011336252,0.001427644,0.0019523007],"category_scores_gemma":[0.00261109,0.0004705812,0.0006633296,0.0017583342,0.0014249913,0.0040798564,0.001466955,0.0022170278,0.000863236],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002922146,0.00015039007,0.0039488175,0.0030343016,0.00016329173,0.0007261678,0.0006585732,0.008832229,0.22196384,0.11136745,0.019821,0.6290417],"study_design_scores_gemma":[0.00006838523,0.0007662387,0.0038286776,0.00083132717,0.00020989968,0.0037493445,0.000609984,0.07253808,0.20834251,0.11592702,0.5927541,0.00037453455],"about_ca_topic_score_codex":0.0009082218,"about_ca_topic_score_gemma":0.0009977567,"teacher_disagreement_score":0.0024089622,"about_ca_system_score_codex":0.0007815846,"about_ca_system_score_gemma":0.001373626,"threshold_uncertainty_score":0.012739956},"labels":[],"label_agreement":null},{"id":"W4396805322","doi":"10.5376/gab.2024.15.0006","title":"The Application of Single-Cell Omics Technologies in Neuroscientific Research","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Omics; Computational biology; Neuroscience; Data science; Psychology; Computer science; Cognitive science; Biology; Bioinformatics","score_opus":0.018423591644365644,"score_gpt":0.2656103181671251,"score_spread":0.24718672652275947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396805322","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01320692,0.29723823,0.6300679,0.020860402,0.0042475993,0.0004936616,0.004328811,0.0014593578,0.028097155],"genre_scores_gemma":[0.12871014,0.33166713,0.5086278,0.013771159,0.00392647,0.0016372029,0.004474157,0.00046711415,0.006718821],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99168915,0.0029741735,0.00058310624,0.0017869401,0.0026331353,0.00033362937],"domain_scores_gemma":[0.9843215,0.009852648,0.0009678541,0.0017316844,0.0027077745,0.0004186766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014413259,0.0012299663,0.002917583,0.0041821087,0.0013283368,0.006685029,0.0024605994,0.0041662483,0.0038533094],"category_scores_gemma":[0.014088947,0.0007406097,0.0017963594,0.0038621894,0.0049183476,0.0065066144,0.004282383,0.0046764305,0.0021983217],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041333082,0.00013162932,0.014806242,0.01675129,0.00086228887,0.0015200494,0.0019077951,0.0067082183,0.14929885,0.23968509,0.03175901,0.53615624],"study_design_scores_gemma":[0.00005521257,0.00038236278,0.011869285,0.0044994005,0.0006098564,0.003994255,0.0020681594,0.016093796,0.06684091,0.3320622,0.56110406,0.00042051947],"about_ca_topic_score_codex":0.0019454429,"about_ca_topic_score_gemma":0.0021361662,"teacher_disagreement_score":0.014413259,"about_ca_system_score_codex":0.002203592,"about_ca_system_score_gemma":0.0038384227,"threshold_uncertainty_score":0.07622546},"labels":[],"label_agreement":null},{"id":"W4396805350","doi":"10.5376/gab.2024.15.0005","title":"The Latest Progress of Cryo Electron Microscopy Technology in Protein Structure Analysis","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cryo-electron microscopy; Electron microscope; Microscopy; Nanotechnology; Materials science; Crystallography; Chemistry; Biophysics; Physics; Optics; Biology","score_opus":0.0020134497155600314,"score_gpt":0.2344373218489051,"score_spread":0.23242387213334506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396805350","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044418005,0.9505987,0.03368065,0.0030511646,0.0010178753,0.000035275036,0.00007768843,0.00013995392,0.0069569233],"genre_scores_gemma":[0.02969397,0.9384238,0.026786309,0.0009414737,0.0015249226,0.000041071085,0.00018023052,0.000070186354,0.0023380453],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99816495,0.0005136194,0.00018954885,0.00029494736,0.0007028082,0.00013425449],"domain_scores_gemma":[0.99799204,0.0006339132,0.00016255476,0.00012963073,0.0009658613,0.000116041214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004594705,0.0007667786,0.0007950387,0.0027990045,0.0006499162,0.0015721185,0.0010899995,0.0013506106,0.0018487577],"category_scores_gemma":[0.00243766,0.0005704753,0.000764028,0.0023212347,0.0011445044,0.004227954,0.0012058929,0.0023717629,0.0009449976],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027967707,0.00014669263,0.004423037,0.014689599,0.0002480272,0.0010882382,0.00085365906,0.0028220736,0.0811933,0.03168046,0.031408332,0.83116686],"study_design_scores_gemma":[0.000031905645,0.00036165575,0.0051628547,0.0022086657,0.0003290408,0.0046594716,0.00050155557,0.005325733,0.060943548,0.013193604,0.90708464,0.0001973331],"about_ca_topic_score_codex":0.0017965783,"about_ca_topic_score_gemma":0.0016837424,"teacher_disagreement_score":0.004594705,"about_ca_system_score_codex":0.0012032464,"about_ca_system_score_gemma":0.001579009,"threshold_uncertainty_score":0.024299383},"labels":[],"label_agreement":null},{"id":"W4398787865","doi":"10.5376/gab.2024.15.0007","title":"Genetic Mechanism of Cassava Disease Resistance: From Traditional Breeding to CRISPR/Cas Application","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Cassava research and cyanide","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"CRISPR; Mechanism (biology); Biotechnology; Biology; Resistance (ecology); Plant disease resistance; Genetics; Agronomy; Gene","score_opus":0.02788470092673791,"score_gpt":0.23757582842368075,"score_spread":0.20969112749694283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398787865","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.070014685,0.8603628,0.042320073,0.0047366163,0.0006231264,0.00013309694,0.00042903703,0.0005834859,0.020797035],"genre_scores_gemma":[0.2094367,0.752084,0.026870016,0.0019507804,0.00022227284,0.00012604696,0.00059960154,0.00007617246,0.00863439],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99973494,0.000038147173,0.000036243644,0.000084133615,0.0000780583,0.00002843676],"domain_scores_gemma":[0.9997943,0.00007711948,0.000040741677,0.000016726377,0.00005386715,0.000017292687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006418864,0.0004591936,0.00063617394,0.00079511025,0.00022002406,0.0008348631,0.00047519043,0.00052043836,0.00092799705],"category_scores_gemma":[0.00040195743,0.00022534866,0.00047957143,0.0006033286,0.00055298494,0.00059929106,0.0005171041,0.0009798318,0.00041016078],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023767486,0.000043152246,0.0023219206,0.011969116,0.00025566106,0.0011274922,0.00056734734,0.0013646944,0.48175827,0.018538166,0.0042601437,0.4775563],"study_design_scores_gemma":[0.000085368854,0.001018231,0.011258979,0.0028978088,0.0008703717,0.004354183,0.00050224905,0.0028775926,0.28580838,0.012041908,0.6781282,0.00015667795],"about_ca_topic_score_codex":0.0011019406,"about_ca_topic_score_gemma":0.001487914,"teacher_disagreement_score":0.0011019406,"about_ca_system_score_codex":0.00079093064,"about_ca_system_score_gemma":0.00073030294,"threshold_uncertainty_score":0.0057385564},"labels":[],"label_agreement":null},{"id":"W4399441908","doi":"10.5376/gab.2024.15.0008","title":"Genomic Diversity and Evolutionary Mechanisms in the <i>Oryza</i> Genus: A Comparative Analysis","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Genus; Biology; Evolutionary biology; Oryza; Diversity (politics); Genetics; Zoology; Oryza sativa; Gene; Sociology; Anthropology","score_opus":0.015475712483415184,"score_gpt":0.22185328269878812,"score_spread":0.20637757021537295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399441908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991078,0.0037990105,0.0020622248,0.00006113614,0.0000042711727,0.000018235274,0.0014266233,0.00004643764,0.001504142],"genre_scores_gemma":[0.9904943,0.0020879614,0.0040547624,0.000043448137,0.000012618,0.000030118183,0.0027461625,0.000015845682,0.00051485444],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99983346,0.000016905495,0.000012764941,0.00008223964,0.000024907264,0.000029754678],"domain_scores_gemma":[0.999861,0.000025354733,0.00004961078,0.000013295431,0.000020975736,0.000029768213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002121698,0.00017452851,0.0003250293,0.0024096097,0.00037890617,0.00042604902,0.00021264289,0.00020049847,0.0010973504],"category_scores_gemma":[0.00018983087,0.00008904661,0.0004270941,0.0026767498,0.00031851142,0.0004326364,0.0005344534,0.0002275787,0.00017843848],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084043766,0.00006864089,0.13773696,0.00085708,0.0003519835,0.00073286105,0.0024054649,0.0009882671,0.755374,0.0015924266,0.00032660624,0.09872526],"study_design_scores_gemma":[0.00001179078,0.00019347966,0.9800642,0.000047257265,0.00023618608,0.00099255,0.0007933021,0.00094910024,0.0074055637,0.00057005836,0.008715063,0.000021359041],"about_ca_topic_score_codex":0.0020007514,"about_ca_topic_score_gemma":0.0014430652,"teacher_disagreement_score":0.0024096097,"about_ca_system_score_codex":0.00035864481,"about_ca_system_score_gemma":0.00027964864,"threshold_uncertainty_score":0.003978193},"labels":[],"label_agreement":null},{"id":"W4400837237","doi":"10.5376/gab.2024.15.0009","title":"Beyond Traditional Bioremediation: The Potential of Engineered SynComs in Tackling Complex Environmental Pollutants","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bioremediation; Pollutant; Biochemical engineering; Environmental chemistry; Environmental science; Chemistry; Engineering; Biology; Ecology; Contamination","score_opus":0.009849827514997585,"score_gpt":0.18995659818351748,"score_spread":0.1801067706685199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400837237","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07918203,0.8881852,0.018507201,0.0021292649,0.0005531271,0.00007113576,0.00030266753,0.00012025786,0.010949177],"genre_scores_gemma":[0.24537656,0.73651296,0.012295026,0.0010680647,0.00021311319,0.00006134517,0.00036681266,0.000038954448,0.004067067],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996866,0.00008388743,0.000027869977,0.00004922114,0.0001100868,0.000042300693],"domain_scores_gemma":[0.9997209,0.000097247386,0.000057427966,0.000019140838,0.000080187296,0.000025047395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006159155,0.0005719376,0.00065748533,0.0007157138,0.00017664219,0.0012276671,0.00033049125,0.0007099917,0.00083659077],"category_scores_gemma":[0.000501531,0.00015695243,0.00058267784,0.00076725514,0.00040023544,0.0016164636,0.0006602039,0.0008449893,0.00041114277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018416709,0.0002176236,0.0015875968,0.025952108,0.00036245165,0.0008490346,0.0002929971,0.0034105976,0.59783757,0.017038891,0.0028548865,0.3494121],"study_design_scores_gemma":[0.000035494162,0.0011113698,0.004468841,0.004336201,0.0005407625,0.0018710161,0.00059839425,0.0021263696,0.3929748,0.010776628,0.5810697,0.00009036351],"about_ca_topic_score_codex":0.00035281258,"about_ca_topic_score_gemma":0.00086734403,"teacher_disagreement_score":0.0012276671,"about_ca_system_score_codex":0.00046369425,"about_ca_system_score_gemma":0.0008658873,"threshold_uncertainty_score":0.0033643246},"labels":[],"label_agreement":null},{"id":"W4401648995","doi":"10.5376/gab.2024.15.0010","title":"Comparative Genomics: Insights into the Evolutionary History of <i>Eucommia ulmoides</i>","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Plant Ecology and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Guizhou Academy of Agricultural Sciences; National Natural Science Foundation of China","keywords":"Eucommia ulmoides; Genomics; Biology; Genetics; Gene; Genome; Medicine","score_opus":0.02232871707559037,"score_gpt":0.20117520251910237,"score_spread":0.178846485443512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401648995","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2756408,0.6105977,0.0678208,0.0040318146,0.0005338511,0.00006742695,0.0027756977,0.00063363474,0.0378982],"genre_scores_gemma":[0.7357124,0.19295637,0.055916116,0.0017286338,0.0003149596,0.000056558874,0.0049574203,0.00020498855,0.00815263],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979,0.000035755445,0.000014028685,0.00009418903,0.00003655724,0.000029463845],"domain_scores_gemma":[0.9998024,0.00006546822,0.00005204436,0.000013806516,0.000037984566,0.000028286802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004973922,0.00035391198,0.00048540032,0.0011975544,0.00044177775,0.00082782,0.0003127789,0.00052233087,0.0010584742],"category_scores_gemma":[0.00036637468,0.0001374799,0.0003381594,0.0019120004,0.00044348155,0.0012211534,0.00041266414,0.00079617207,0.00038726287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002301494,0.00002896638,0.008181634,0.0038966506,0.00022145582,0.0011653737,0.0014682066,0.001218408,0.571601,0.015958972,0.0032756107,0.39275366],"study_design_scores_gemma":[0.000020115893,0.00036851084,0.19556053,0.0009919447,0.0005079233,0.0064083836,0.0016176898,0.0033466448,0.058382265,0.014953793,0.7176742,0.0001679521],"about_ca_topic_score_codex":0.0018383625,"about_ca_topic_score_gemma":0.0021402277,"teacher_disagreement_score":0.0018383625,"about_ca_system_score_codex":0.00068875117,"about_ca_system_score_gemma":0.0005679065,"threshold_uncertainty_score":0.0049972534},"labels":[],"label_agreement":null},{"id":"W4403990420","doi":"10.5376/gab.2024.15.0024","title":"Research Progress in Genome Sequencing and Functional Gene Mining of Cannabis","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Zhejiang Academy of Agricultural Sciences","keywords":"Cannabis; Genome; Computational biology; Gene; Biology; Genetics; DNA sequencing; Psychology","score_opus":0.031495299019192305,"score_gpt":0.2943077066836718,"score_spread":0.2628124076644795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403990420","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49883145,0.10806791,0.29118812,0.009452251,0.0014791582,0.0007946713,0.06270621,0.004713879,0.022766406],"genre_scores_gemma":[0.41740814,0.072351605,0.34675065,0.0022151426,0.00046940453,0.0006376536,0.14946677,0.0015248908,0.009175795],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986921,0.00020943953,0.00010869311,0.00047613244,0.0003867175,0.00012696804],"domain_scores_gemma":[0.9978422,0.00055797934,0.00025235352,0.0004271993,0.0006597746,0.00026047014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028006325,0.0008862933,0.0012622987,0.0037049924,0.0011231198,0.001840941,0.0012276062,0.0010434869,0.00236346],"category_scores_gemma":[0.0031000224,0.00044597258,0.0017947083,0.004378082,0.00076402037,0.0014741655,0.0014619025,0.0020292231,0.0013000198],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007471723,0.0001144667,0.011454096,0.0038043603,0.00035924345,0.0008519104,0.0009890234,0.004107383,0.7311394,0.007732462,0.006735256,0.23196515],"study_design_scores_gemma":[0.0001976245,0.00046555794,0.14102696,0.0015398257,0.0012621537,0.0035235635,0.0016478724,0.026933804,0.2541619,0.0256272,0.54325193,0.00036153483],"about_ca_topic_score_codex":0.010651877,"about_ca_topic_score_gemma":0.014890435,"teacher_disagreement_score":0.010651877,"about_ca_system_score_codex":0.0018454513,"about_ca_system_score_gemma":0.004571379,"threshold_uncertainty_score":0.021179795},"labels":[],"label_agreement":null},{"id":"W4403990713","doi":"10.5376/gab.2024.15.0028","title":"Harnessing Gene Editing Tools to Study ASFV Pathogenesis","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Genome editing; Pathogenesis; Biology; Genetics; Gene; Computational biology; Computer science; CRISPR; Immunology","score_opus":0.04502149973250745,"score_gpt":0.2587688207525618,"score_spread":0.21374732102005434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403990713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5710802,0.012449144,0.40142485,0.001354475,0.0005579931,0.000574837,0.0011098594,0.0016160185,0.009832577],"genre_scores_gemma":[0.876337,0.0076833554,0.109766066,0.0003926342,0.00006276128,0.00021258471,0.00069991674,0.00010566336,0.0047399676],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99956876,0.00010139461,0.000031240153,0.00011361691,0.00013028801,0.000054759406],"domain_scores_gemma":[0.9997168,0.0000897381,0.00007111967,0.000048150257,0.00003465782,0.000039481965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005469058,0.0005886273,0.00041381325,0.0006060864,0.00026410865,0.0007786857,0.0004725489,0.00083719013,0.0008041074],"category_scores_gemma":[0.00043500564,0.00023667293,0.00049593,0.00022475148,0.0005110988,0.0005172296,0.0005769157,0.0013904487,0.00029378652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026744412,0.000034075474,0.00023810111,0.000078327444,0.000017046847,0.000120056335,0.00003914287,0.0003757266,0.99102294,0.001172731,0.00011185071,0.00676323],"study_design_scores_gemma":[0.000018382587,0.00042374426,0.0011082604,0.000025943858,0.000045049048,0.00089712354,0.000050473765,0.0050148293,0.97265697,0.0008736876,0.018858785,0.000026561504],"about_ca_topic_score_codex":0.0006912822,"about_ca_topic_score_gemma":0.00082053046,"teacher_disagreement_score":0.00083719013,"about_ca_system_score_codex":0.00056951557,"about_ca_system_score_gemma":0.00038529738,"threshold_uncertainty_score":0.004132211},"labels":[],"label_agreement":null},{"id":"W4403990817","doi":"10.5376/gab.2024.15.0027","title":"Development of High-Throughput Molecular Markers for Soybean Breeding","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Throughput; Biology; Molecular breeding; Biotechnology; Genetics; Computer science; Gene","score_opus":0.01795442556006798,"score_gpt":0.2175328208589246,"score_spread":0.19957839529885663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403990817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63874376,0.004467266,0.31437188,0.000907807,0.00031982016,0.0016563714,0.027556002,0.003625128,0.008352011],"genre_scores_gemma":[0.5284266,0.0028776638,0.4234155,0.0005904389,0.000083670195,0.0013027239,0.033491522,0.0005605954,0.009251212],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991666,0.00018653664,0.0000612763,0.0002360886,0.00024547317,0.00010405939],"domain_scores_gemma":[0.9992544,0.00016172974,0.00026677648,0.00007769156,0.00013693256,0.000102309714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012553756,0.0007029893,0.0007801708,0.0014393288,0.00027306742,0.0009136108,0.00075055857,0.0007950705,0.002442428],"category_scores_gemma":[0.0013552604,0.00059012265,0.0007309703,0.0009855739,0.00019949615,0.00042980586,0.0005951086,0.0010724366,0.0020072411],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010974902,0.00008091304,0.0029385786,0.00012616889,0.000028250923,0.00003960626,0.000035475678,0.00024867608,0.9794908,0.00021364783,0.00024186831,0.01644627],"study_design_scores_gemma":[0.0001704766,0.0018044087,0.12898001,0.0001803871,0.00045339626,0.0007204046,0.0002925153,0.017877458,0.7995178,0.0012455492,0.04865749,0.00010008039],"about_ca_topic_score_codex":0.001383624,"about_ca_topic_score_gemma":0.0034478055,"teacher_disagreement_score":0.002442428,"about_ca_system_score_codex":0.0005099115,"about_ca_system_score_gemma":0.000522026,"threshold_uncertainty_score":0.008170724},"labels":[],"label_agreement":null},{"id":"W4403990831","doi":"10.5376/gab.2024.15.0026","title":"Genomic Analysis of Earwigs and Their Ecological Adaptation: From Genome Assembly to Molecular Mechanisms of Environmental Adaptation","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Research Canada","funders":"","keywords":"Adaptation (eye); Biology; Genome; Evolutionary biology; Ecology; Computational biology; Genetics; Gene; Neuroscience","score_opus":0.013603196397835604,"score_gpt":0.17875557955478222,"score_spread":0.1651523831569466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403990831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9451905,0.0107710855,0.028237028,0.0003744246,0.00007053957,0.00005631859,0.010982933,0.00074398954,0.0035731595],"genre_scores_gemma":[0.9287126,0.006277352,0.03281853,0.00026492582,0.000046255267,0.000055659835,0.029401964,0.00020811746,0.0022145973],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99986386,0.000016360505,0.000008508904,0.00006037611,0.000024190587,0.000026756066],"domain_scores_gemma":[0.9998203,0.000045122877,0.000052521165,0.000029143244,0.000023870147,0.000029017947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023489897,0.0004113653,0.00035528126,0.0009803608,0.00028435633,0.0007727094,0.00024340452,0.00031054628,0.0007162105],"category_scores_gemma":[0.00037162768,0.00016908154,0.00045359303,0.0013369152,0.00024159117,0.0004607067,0.00053042255,0.00046883212,0.00038972718],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022169232,0.00002223734,0.017878706,0.00030301485,0.000055962115,0.00032708806,0.0003891111,0.0011615161,0.94513625,0.000915188,0.00047814357,0.03311093],"study_design_scores_gemma":[0.000063669344,0.00035673514,0.7732589,0.00027223278,0.0004208261,0.0013085618,0.0014763294,0.008998517,0.1310602,0.0032294483,0.07946655,0.000087951805],"about_ca_topic_score_codex":0.0023939756,"about_ca_topic_score_gemma":0.004334555,"teacher_disagreement_score":0.0023939756,"about_ca_system_score_codex":0.00036636266,"about_ca_system_score_gemma":0.00040593158,"threshold_uncertainty_score":0.004760027},"labels":[],"label_agreement":null},{"id":"W4404427615","doi":"10.5376/gab.2024.15.0011","title":"Efficient Gene Transfer Techniques in Shrimp and Their Cellular Applications","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shrimp; Gene transfer; Transfer (computing); Gene; Computational biology; Computer science; Biology; Genetics; Fishery; Operating system","score_opus":0.0055378891657579445,"score_gpt":0.20935622401982576,"score_spread":0.2038183348540678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404427615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61679065,0.04703773,0.3175596,0.00049758854,0.0004376068,0.000490516,0.000528471,0.0006203714,0.016037283],"genre_scores_gemma":[0.8062274,0.032713734,0.14863424,0.00020311003,0.00008265547,0.00036427693,0.00080773985,0.00017008522,0.010796772],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993925,0.00011355398,0.00006576088,0.0000981793,0.00027957425,0.00005031379],"domain_scores_gemma":[0.9997379,0.0000864645,0.000056785862,0.00004461554,0.00005474392,0.000019503988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008645872,0.0004412727,0.00032235013,0.00050303485,0.00032598266,0.0009291526,0.00035696142,0.00062328373,0.00094971916],"category_scores_gemma":[0.0006697809,0.0002096417,0.00033464655,0.0004958074,0.00035183167,0.00067899463,0.0006048143,0.0006973998,0.00065595604],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023849616,0.0000165172,0.00018756172,0.00019099182,0.0000066324005,0.000088655106,0.000058198137,0.00027514683,0.98348886,0.00082127564,0.00007094066,0.0147714075],"study_design_scores_gemma":[0.0000075636353,0.00030926688,0.001156672,0.000051999556,0.00003123318,0.0005462226,0.00005973776,0.0012395441,0.9769782,0.00039153092,0.019215079,0.000013100898],"about_ca_topic_score_codex":0.00022227051,"about_ca_topic_score_gemma":0.00028096992,"teacher_disagreement_score":0.00094971916,"about_ca_system_score_codex":0.0003052421,"about_ca_system_score_gemma":0.00032111094,"threshold_uncertainty_score":0.0045723915},"labels":[],"label_agreement":null},{"id":"W4404427765","doi":"10.5376/gab.2024.15.0013","title":"Advancements in Gene Editing Technologies for Mosquito Research","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Genome editing; Biology; Computational biology; Computer science; Gene; Genetics; CRISPR","score_opus":0.019793859326030137,"score_gpt":0.379463701319589,"score_spread":0.3596698419935589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404427765","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10227692,0.27051565,0.5373534,0.013137019,0.0038757003,0.0005948994,0.0016929934,0.0028736433,0.06767976],"genre_scores_gemma":[0.25335845,0.37476334,0.32826677,0.00253406,0.001226774,0.00050560146,0.0020172975,0.00072508585,0.036602616],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984522,0.00031303783,0.000114043214,0.00032510541,0.00069357944,0.000102060614],"domain_scores_gemma":[0.99898666,0.00034080626,0.00017512888,0.00016013085,0.00023374302,0.00010344515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026086892,0.0006863323,0.00064554985,0.0011141851,0.00048444277,0.001657265,0.0005649937,0.00079947314,0.003754208],"category_scores_gemma":[0.0014795829,0.00041562293,0.00072980684,0.000864364,0.00069285167,0.0013540399,0.0011048065,0.0023394534,0.0019149375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014242233,0.000104892024,0.0007934897,0.0016765991,0.00006448568,0.00035298374,0.00035761733,0.001054691,0.6984985,0.029341424,0.0055632982,0.26204962],"study_design_scores_gemma":[0.000032664226,0.00056409935,0.0021218653,0.00041091873,0.00011034295,0.0020018264,0.00018078052,0.0031500075,0.46371236,0.00785033,0.51976395,0.000100854886],"about_ca_topic_score_codex":0.0007361619,"about_ca_topic_score_gemma":0.0008538105,"teacher_disagreement_score":0.003754208,"about_ca_system_score_codex":0.00090694113,"about_ca_system_score_gemma":0.0009860571,"threshold_uncertainty_score":0.01379621},"labels":[],"label_agreement":null},{"id":"W4404428029","doi":"10.5376/gab.2024.15.0012","title":"CRISPR-Cas9 Mediated Gene Editing in Tilapia: Enhancing Growth Rates and Disease Resistance","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"CRISPR; Genome editing; Biology; Gene; Genetics; Disease; Medicine; Internal medicine","score_opus":0.004067579905827407,"score_gpt":0.26148917244004194,"score_spread":0.25742159253421454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404428029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92888963,0.0019760514,0.054554492,0.0006935005,0.0002067059,0.000148834,0.0008706313,0.0011229203,0.011537214],"genre_scores_gemma":[0.9775252,0.0007470749,0.014291793,0.00011181874,0.00000877782,0.00006213787,0.00036290928,0.0000830202,0.0068072984],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99966216,0.000038588947,0.00004565138,0.00007747549,0.00012145986,0.00005472182],"domain_scores_gemma":[0.99984276,0.00003211478,0.000049967315,0.000018810437,0.0000257313,0.00003061049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034626614,0.00032399077,0.00035517238,0.00024401354,0.00027405279,0.0005786656,0.0003084639,0.000518932,0.0016694529],"category_scores_gemma":[0.00040515646,0.00013297496,0.00041067527,0.0001803811,0.00039957135,0.00031462536,0.00061154773,0.0006874671,0.00041162616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007453833,0.000015340178,0.00048175277,0.00009836874,0.000009063999,0.00014735834,0.000041652464,0.00066220545,0.9921595,0.0005202979,0.00016104305,0.0056288647],"study_design_scores_gemma":[0.00003096468,0.0003925519,0.0035856906,0.000028727667,0.000060319715,0.0008666384,0.000101854064,0.006698022,0.9737038,0.00061639526,0.013882927,0.000032151805],"about_ca_topic_score_codex":0.0015172795,"about_ca_topic_score_gemma":0.0017880976,"teacher_disagreement_score":0.0016694529,"about_ca_system_score_codex":0.00065020646,"about_ca_system_score_gemma":0.00054794754,"threshold_uncertainty_score":0.0055848956},"labels":[],"label_agreement":null},{"id":"W4404868892","doi":"10.5376/gab.2024.15.0016","title":"Integrating Functional Genomics with Breeding in Eucommia ulmoides","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Seed and Plant Biochemistry","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Guizhou Academy of Agricultural Sciences; National Natural Science Foundation of China","keywords":"Eucommia ulmoides; Functional genomics; Genomics; Biology; Computational biology; Genome; Genetics; Medicine; Gene","score_opus":0.014730822350232263,"score_gpt":0.18432385263373127,"score_spread":0.169593030283499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404868892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92717063,0.0012035121,0.06722276,0.00027149162,0.000020043552,0.0001135811,0.00051144965,0.0004470526,0.0030395126],"genre_scores_gemma":[0.88152707,0.0007808198,0.11467312,0.00018242457,0.000008779004,0.00012255421,0.0012412738,0.00006096238,0.0014029358],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998362,0.00004434774,0.000014729983,0.000045772424,0.000026073427,0.000032721247],"domain_scores_gemma":[0.9998871,0.000031210548,0.00002505199,0.000020609958,0.00001375173,0.000022272588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033484795,0.00038583254,0.000262903,0.00041591682,0.00024743946,0.00020987008,0.0003298812,0.0002250431,0.00032424662],"category_scores_gemma":[0.00019073895,0.00016649443,0.00032619125,0.00037709792,0.00017519762,0.0003061161,0.0006863467,0.00041797926,0.00014889867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075394964,0.00003041715,0.0015313488,0.00006639998,0.000011113452,0.00009525783,0.000068987596,0.0007409569,0.983244,0.000530503,0.000026675121,0.013578933],"study_design_scores_gemma":[0.00008242705,0.0005363651,0.15327613,0.00008257953,0.0001713926,0.0014088157,0.00045141426,0.022292515,0.7990972,0.0025065409,0.02004561,0.00004911703],"about_ca_topic_score_codex":0.0022351407,"about_ca_topic_score_gemma":0.0030387607,"teacher_disagreement_score":0.0022351407,"about_ca_system_score_codex":0.0003983938,"about_ca_system_score_gemma":0.00051512255,"threshold_uncertainty_score":0.004444182},"labels":[],"label_agreement":null},{"id":"W4404869201","doi":"10.5376/gab.2024.15.0015","title":"Nutritional Genomics in Pet Animals: Interactions between Diet and Genetics","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Genomics; Genetics; Biology; Medical genetics; Computational biology; Genome; Gene","score_opus":0.012968382588077408,"score_gpt":0.26560032346182455,"score_spread":0.25263194087374713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404869201","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88213813,0.021142347,0.074912935,0.0049182354,0.00018497222,0.00006760813,0.0010410002,0.00021615627,0.015378606],"genre_scores_gemma":[0.96029675,0.008300852,0.02545025,0.0013090189,0.00007975508,0.0000937402,0.0005413349,0.00009648387,0.0038317305],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99935824,0.00035468827,0.000022123031,0.00014061497,0.0000907404,0.000033578213],"domain_scores_gemma":[0.99946135,0.00028920313,0.00012130293,0.000041589425,0.0000501668,0.00003636344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001048687,0.00032886976,0.00044431808,0.00058649504,0.00032996674,0.0013662727,0.00023070657,0.000589115,0.001051426],"category_scores_gemma":[0.00103408,0.00021575061,0.00026539143,0.00055974803,0.0007954244,0.0006138509,0.00048670126,0.00051308004,0.0001408217],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005284315,0.000224158,0.16017433,0.0009043885,0.00046258414,0.0016382912,0.0013243812,0.002731302,0.6594434,0.01816015,0.0016069219,0.1528017],"study_design_scores_gemma":[0.000025854335,0.0007783422,0.8793364,0.00038225413,0.000380361,0.0041575325,0.0020951063,0.009572755,0.044257298,0.027177604,0.031709436,0.0001269458],"about_ca_topic_score_codex":0.0017078235,"about_ca_topic_score_gemma":0.0034183185,"teacher_disagreement_score":0.0017078235,"about_ca_system_score_codex":0.0005481045,"about_ca_system_score_gemma":0.000328698,"threshold_uncertainty_score":0.0055460334},"labels":[],"label_agreement":null},{"id":"W4404869458","doi":"10.5376/gab.2024.15.0017","title":"Epigenetic Modification in Bt and Their Impact on Gene Expression","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Epigenetics; Biology; Gene expression; Genetics; Gene; Computational biology; Bioinformatics","score_opus":0.014827320526555117,"score_gpt":0.27874311848965855,"score_spread":0.26391579796310344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404869458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98528546,0.004034533,0.004306867,0.00020342102,0.00005358308,0.000020989239,0.0005664682,0.00008067258,0.0054479945],"genre_scores_gemma":[0.99173635,0.0007985728,0.0005862509,0.000065525004,0.000014106244,0.000014386441,0.0003613467,0.000042104428,0.006381352],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983406,0.000036936428,0.000013709884,0.000031695225,0.000040963463,0.000042582997],"domain_scores_gemma":[0.99986935,0.000024035702,0.000037803336,0.000020107726,0.00001404032,0.000034600154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020862871,0.00015009294,0.00016979579,0.00022863851,0.00019532314,0.00037840244,0.00024451123,0.0002770429,0.0048489748],"category_scores_gemma":[0.00024418507,0.00009887967,0.00022727164,0.00027503594,0.0002393984,0.00032435576,0.00025957444,0.00045241893,0.00057742157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020665798,0.000024921233,0.000800385,0.000019959625,0.000008560435,0.000057317062,0.000020390595,0.00007777832,0.99432397,0.0010251042,0.000042815118,0.0033922205],"study_design_scores_gemma":[0.000027538308,0.00043198376,0.043734286,0.000011103247,0.00004154692,0.0005599497,0.00010500955,0.00092819106,0.9454274,0.0008620104,0.00785815,0.000012858354],"about_ca_topic_score_codex":0.0012263288,"about_ca_topic_score_gemma":0.0014524908,"teacher_disagreement_score":0.0048489748,"about_ca_system_score_codex":0.00043594008,"about_ca_system_score_gemma":0.0001700844,"threshold_uncertainty_score":0.016221464},"labels":[],"label_agreement":null},{"id":"W4405851924","doi":"10.5376/gab.2024.15.0020","title":"Genome Editing and Rice Improvement: The Role of CRISPR/Cas9 in Developing Superior Yield Traits","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"CRISPR; Genome editing; Yield (engineering); Biology; Genetics; Biotechnology; Computational biology; Gene","score_opus":0.005594737904058873,"score_gpt":0.24943515636508132,"score_spread":0.24384041846102245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405851924","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6534434,0.020035999,0.29099965,0.0021594397,0.00042336137,0.00030563682,0.0010511032,0.0026503513,0.0289311],"genre_scores_gemma":[0.9408479,0.0065231803,0.044028256,0.00037365188,0.0000420376,0.000046249348,0.0005714009,0.0001782807,0.0073890607],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997278,0.000038782815,0.000025877436,0.000085221,0.00008074828,0.00004149828],"domain_scores_gemma":[0.9998765,0.000027580192,0.00003057015,0.000023456949,0.000020714884,0.000021151227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004583411,0.00057856966,0.00037963022,0.00026954492,0.00022470692,0.0006297541,0.00032573257,0.00046268935,0.0013191999],"category_scores_gemma":[0.00034503802,0.00014254136,0.00037258567,0.00023996033,0.00035842624,0.0004411583,0.00050165656,0.00086792273,0.00040000182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074596464,0.000020522402,0.00037568578,0.00014181958,0.00001676543,0.00012196464,0.000028537377,0.00042395046,0.98029786,0.0012036044,0.00016496971,0.017129777],"study_design_scores_gemma":[0.000017575336,0.0002718431,0.0030861772,0.000021819274,0.00006256006,0.0008718456,0.000029912339,0.004063869,0.9667673,0.0009735512,0.02380763,0.000025831632],"about_ca_topic_score_codex":0.0007818826,"about_ca_topic_score_gemma":0.00086680823,"teacher_disagreement_score":0.0013191999,"about_ca_system_score_codex":0.00048848114,"about_ca_system_score_gemma":0.0004831759,"threshold_uncertainty_score":0.0044131875},"labels":[],"label_agreement":null},{"id":"W4405851934","doi":"10.5376/gab.2024.15.0023","title":"Genome-Wide Association Studies in Fabaceae: Progress and Prospects","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fabaceae; Genome-wide association study; Computational biology; Biology; Association (psychology); Genome; Evolutionary biology; Genetics; Gene; Ecology; Psychology; Single-nucleotide polymorphism; Genotype","score_opus":0.015088814988862713,"score_gpt":0.253294293342115,"score_spread":0.2382054783532523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405851934","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18427143,0.74516946,0.030993253,0.03507468,0.00059977855,0.000055905744,0.0012728968,0.00023463507,0.0023280103],"genre_scores_gemma":[0.6871761,0.25592536,0.045691624,0.0073680067,0.001734511,0.000111093694,0.0012465504,0.00007358463,0.0006731625],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99652004,0.001804288,0.00028931556,0.00076846225,0.00040941656,0.00020854005],"domain_scores_gemma":[0.9783353,0.015707377,0.0018853633,0.0013580112,0.0015602941,0.0011535903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025479175,0.0006934432,0.0012769513,0.0023130444,0.0006535913,0.0021210427,0.0010016517,0.001695926,0.0021975238],"category_scores_gemma":[0.0112180095,0.00036926565,0.0013451639,0.003984256,0.0015777467,0.0017946177,0.0013742148,0.0017076251,0.00027476493],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020557265,0.00022806055,0.48138753,0.0034126774,0.005354887,0.001458258,0.0008223639,0.0023467864,0.015104568,0.009260699,0.007150677,0.47141775],"study_design_scores_gemma":[0.00020750107,0.0005831756,0.8758133,0.0024833893,0.004097446,0.0021580043,0.0011962597,0.0035458258,0.0016399109,0.03420094,0.07390032,0.00017397734],"about_ca_topic_score_codex":0.0029571732,"about_ca_topic_score_gemma":0.004875704,"teacher_disagreement_score":0.025479175,"about_ca_system_score_codex":0.0006140709,"about_ca_system_score_gemma":0.0012640264,"threshold_uncertainty_score":0.1347484},"labels":[],"label_agreement":null},{"id":"W4405851952","doi":"10.5376/gab.2024.15.0033","title":"Accelerating Yam Breeding Cycles with Genomic Selection","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Pacific and Southeast Asian Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Genomic selection; Selection (genetic algorithm); Biotechnology; Biology; Computer science; Genetics; Genotype; Artificial intelligence; Gene","score_opus":0.02767862461001429,"score_gpt":0.2763113638341633,"score_spread":0.24863273922414902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405851952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8890938,0.0016009052,0.09332863,0.00040201808,0.00008291327,0.00019712279,0.00033153308,0.0006760621,0.014287095],"genre_scores_gemma":[0.9142623,0.0010853835,0.079389535,0.0002566186,0.000045249588,0.00015382694,0.00062174327,0.00009685418,0.00408849],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995939,0.00016032922,0.000023619305,0.00011230934,0.00006562151,0.000044251115],"domain_scores_gemma":[0.99951303,0.00017995607,0.000108578584,0.00005997886,0.00007863423,0.000059872793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010344613,0.0003167475,0.0003299787,0.0005548328,0.00040655272,0.000695591,0.00038901507,0.00026507408,0.002742578],"category_scores_gemma":[0.0011870979,0.0001277766,0.0002643399,0.0007153977,0.00021334374,0.0004905131,0.00072759023,0.00035006326,0.0005029809],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005384661,0.0004973201,0.061878577,0.00046923093,0.00013392467,0.0004344766,0.0008207116,0.009757166,0.27139542,0.010982142,0.0013476469,0.64174485],"study_design_scores_gemma":[0.00038497118,0.005576292,0.5894831,0.00038510154,0.0012668184,0.0022904512,0.0026607176,0.08168147,0.12645516,0.022162618,0.16740921,0.00024417142],"about_ca_topic_score_codex":0.00082286337,"about_ca_topic_score_gemma":0.0021615925,"teacher_disagreement_score":0.002742578,"about_ca_system_score_codex":0.00034173686,"about_ca_system_score_gemma":0.00071140495,"threshold_uncertainty_score":0.009174883},"labels":[],"label_agreement":null},{"id":"W4405851957","doi":"10.5376/gab.2024.15.0021","title":"Research on Chloroplast Genome Variation and Phylogenetic Relationships in Camellia sinensis","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Plant and Fungal Species Descriptions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Camellia sinensis; Phylogenetic tree; Biology; Genome; Evolutionary biology; Chloroplast; Variation (astronomy); Phylogenetics; Phylogenetic relationship; Botany; Genetics; Gene; Physics","score_opus":0.041242785393895615,"score_gpt":0.2719256786845931,"score_spread":0.2306828932906975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405851957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949704,0.0011500987,0.001507486,0.00010106782,0.000008412521,0.000010754371,0.0011346895,0.0000214307,0.0010957749],"genre_scores_gemma":[0.99466383,0.0005283422,0.001629276,0.00008924503,0.000011882191,0.000013265255,0.0026607334,0.000009920863,0.00039355134],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99980384,0.000022567921,0.000020306743,0.000087595254,0.000044932935,0.000020835005],"domain_scores_gemma":[0.99975055,0.000051033723,0.000087585075,0.00002588879,0.00004874439,0.0000361648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038431113,0.0001125641,0.00021013961,0.0013400549,0.00032064598,0.00025538064,0.00016751516,0.00018757391,0.0006897532],"category_scores_gemma":[0.00037946718,0.000055177552,0.00044117973,0.0011605943,0.00012171202,0.00023229024,0.00025730653,0.00017977653,0.00013029421],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029638215,0.000054602504,0.12812147,0.00026216553,0.000170243,0.00055202935,0.0007761592,0.00042822643,0.8376831,0.0009192332,0.00022832709,0.03050799],"study_design_scores_gemma":[0.000021721067,0.00015361709,0.95596147,0.00003384124,0.00014656108,0.0010455063,0.0003348724,0.001123522,0.0296872,0.0004611998,0.011008268,0.000022209399],"about_ca_topic_score_codex":0.0012812256,"about_ca_topic_score_gemma":0.002172826,"teacher_disagreement_score":0.0013400549,"about_ca_system_score_codex":0.00038285172,"about_ca_system_score_gemma":0.00016895439,"threshold_uncertainty_score":0.0027778149},"labels":[],"label_agreement":null},{"id":"W4405851967","doi":"10.5376/gab.2024.15.0019","title":"Exploring the Future of Biostatistics in Genomic Research: Opportunities and Challenges","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biostatistics; Computational biology; Data science; Biology; Engineering ethics; Evolutionary biology; Computer science; Medicine; Engineering; Public health; Pathology","score_opus":0.22793055986575297,"score_gpt":0.3308102193590244,"score_spread":0.10287965949327141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405851967","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003868173,0.14458218,0.24371311,0.59465736,0.0050021634,0.00020647369,0.0005392042,0.0003918096,0.0070395204],"genre_scores_gemma":[0.1974905,0.16013241,0.5084755,0.10201568,0.026806427,0.0013616516,0.0006575741,0.00072263414,0.0023375887],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.78611267,0.1821061,0.006600816,0.0074857883,0.016172089,0.0015226369],"domain_scores_gemma":[0.22444014,0.7145621,0.0070512295,0.02106474,0.02681237,0.0060693617],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.36681318,0.0019606927,0.00544571,0.008054384,0.002779365,0.018746637,0.00574633,0.008104663,0.006091672],"category_scores_gemma":[0.44178432,0.0015488627,0.0029024512,0.00996459,0.032404628,0.024003547,0.011727445,0.023979148,0.0020174263],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032708189,0.0002910782,0.012541276,0.004532656,0.0011780277,0.00038005033,0.0034683072,0.009459218,0.0005209838,0.5896345,0.04572045,0.33194637],"study_design_scores_gemma":[0.00006431008,0.000098156044,0.0017526473,0.0019473683,0.00007873142,0.00014493593,0.0011499426,0.009351531,0.00014949178,0.94564074,0.039510287,0.00011178887],"about_ca_topic_score_codex":0.009198699,"about_ca_topic_score_gemma":0.008310621,"teacher_disagreement_score":0.36681318,"about_ca_system_score_codex":0.0077561894,"about_ca_system_score_gemma":0.033021614,"threshold_uncertainty_score":0.78083205},"labels":[],"label_agreement":null},{"id":"W4405851982","doi":"10.5376/gab.2024.15.0030","title":"Genetic Basis of Oil Content in Camellia Species","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Camellia; Basis (linear algebra); Biology; Mathematics; Food science; Botany; Biotechnology","score_opus":0.015017160721826728,"score_gpt":0.2091844412477969,"score_spread":0.19416728052597015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405851982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962896,0.00051050674,0.0016277788,0.000049861974,0.00000972425,0.000022789518,0.0008718944,0.000039827733,0.0005780807],"genre_scores_gemma":[0.9955153,0.00020902175,0.0019149797,0.0000840284,0.00001174858,0.00003563613,0.0015381051,0.000033265664,0.00065796985],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997508,0.000031846586,0.000036295205,0.00009016064,0.000056502613,0.000034323715],"domain_scores_gemma":[0.9997222,0.000045950008,0.00009791391,0.000025783856,0.000053455464,0.000054639215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023129376,0.00022624122,0.0003092616,0.001400405,0.00021989655,0.00028637453,0.00024677577,0.00026408045,0.0007725441],"category_scores_gemma":[0.00026406962,0.00013954024,0.0004535827,0.0004721709,0.00022302092,0.00020843485,0.00042327505,0.00028047958,0.00015513186],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013024217,0.0000088951665,0.0030992443,0.00002572155,0.000020085105,0.000105419735,0.00005019483,0.0000340381,0.99546957,0.000060899198,0.0000122460415,0.0009834497],"study_design_scores_gemma":[0.00006154301,0.0004920228,0.6964845,0.000033116543,0.00025970416,0.0017287321,0.00029936357,0.0017778993,0.29377657,0.00039084422,0.0046394113,0.00005618259],"about_ca_topic_score_codex":0.00087749504,"about_ca_topic_score_gemma":0.0010041527,"teacher_disagreement_score":0.001400405,"about_ca_system_score_codex":0.0006281898,"about_ca_system_score_gemma":0.00014800856,"threshold_uncertainty_score":0.004557848},"labels":[],"label_agreement":null},{"id":"W4405851989","doi":"10.5376/gab.2024.15.0031","title":"Research Insight into the Genetic Regulation of Photosynthesis in Sweet Potato","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photosynthesis; Biology; Botany; Biotechnology; Horticulture","score_opus":0.0345058174806764,"score_gpt":0.2758779662067417,"score_spread":0.2413721487260653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405851989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91312546,0.028496401,0.04066201,0.0020910518,0.00024131314,0.000051240397,0.0010238028,0.0004100129,0.013898663],"genre_scores_gemma":[0.9553267,0.021828238,0.015562554,0.0006814115,0.00005619884,0.000056893132,0.00090777,0.00009159508,0.0054887678],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99987936,0.000013704989,0.000013936086,0.000047343507,0.00003030435,0.00001534078],"domain_scores_gemma":[0.9998858,0.000026591939,0.000033685865,0.000014260079,0.000019173778,0.000020395515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003439957,0.0002595831,0.00026720014,0.00036622403,0.00017533432,0.00048720653,0.00021488713,0.00027314137,0.0009882969],"category_scores_gemma":[0.00016772517,0.00015340185,0.00031089937,0.0003920031,0.00026567394,0.00042808926,0.00043336247,0.0007660679,0.00024182946],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047868463,0.0000142466515,0.0006096542,0.00012924905,0.000009485665,0.0001094686,0.00004863629,0.0003040986,0.9834758,0.0018134078,0.00010954253,0.013328536],"study_design_scores_gemma":[0.000050577477,0.0005692604,0.0677714,0.0002777266,0.00020869868,0.0015887356,0.0008485418,0.009869494,0.81441194,0.010722227,0.093597464,0.00008396464],"about_ca_topic_score_codex":0.0004909402,"about_ca_topic_score_gemma":0.0006360242,"teacher_disagreement_score":0.0009882969,"about_ca_system_score_codex":0.00034464218,"about_ca_system_score_gemma":0.00039161707,"threshold_uncertainty_score":0.00330621},"labels":[],"label_agreement":null},{"id":"W4405852023","doi":"10.5376/gab.2024.15.0034","title":"Advances in Genomic Research and Genetic Improvement of Cactaceae Plants","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Botanical Research and Applications","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biology; Evolutionary biology; Genomic selection; Biotechnology; Computational biology; Genetics; Genotype; Gene","score_opus":0.034819543231796805,"score_gpt":0.3111638296711617,"score_spread":0.2763442864393649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405852023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63241917,0.19125645,0.11582476,0.0077372626,0.0013575784,0.00042533135,0.0060272347,0.0022582759,0.04269394],"genre_scores_gemma":[0.76459527,0.096751876,0.12148979,0.0013885365,0.00043001468,0.00019128858,0.006979773,0.00022556653,0.007947863],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999711,0.000033997556,0.0000217842,0.000104715844,0.000099531855,0.000028961638],"domain_scores_gemma":[0.9997727,0.000058279074,0.000051717998,0.000025542638,0.00005944179,0.000032219097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068987807,0.0006738089,0.00047492218,0.0015054919,0.00049540604,0.0008446468,0.00056262704,0.00054025406,0.0020443187],"category_scores_gemma":[0.0005370787,0.00018124864,0.00045729367,0.0019118886,0.00045798163,0.00070445566,0.00048089,0.00080920744,0.00038173472],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001609826,0.00009410561,0.0031945142,0.0022751766,0.00007269443,0.0006356726,0.0005376326,0.0017046827,0.68508565,0.007826232,0.0014948702,0.2969178],"study_design_scores_gemma":[0.00015165654,0.0007004096,0.16201806,0.001187038,0.0008119197,0.003639212,0.0015316579,0.008760224,0.23467828,0.015662577,0.5706642,0.0001947368],"about_ca_topic_score_codex":0.0027632986,"about_ca_topic_score_gemma":0.003553152,"teacher_disagreement_score":0.0027632986,"about_ca_system_score_codex":0.0009465786,"about_ca_system_score_gemma":0.001280843,"threshold_uncertainty_score":0.006867945},"labels":[],"label_agreement":null},{"id":"W4405852028","doi":"10.5376/gab.2024.15.0022","title":"Comprehensive Genomic Identification and Characterization of R2R3-MYB Genes in Colored Rice (<i>Oryza sativa</i> L.): A Phylogenetic and Expression Analysis","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Microbial Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Oryza sativa; Biology; Gene; Phylogenetic tree; Identification (biology); Genetics; MYB; Red rice; Botany; Gene expression; Horticulture","score_opus":0.007007828681747039,"score_gpt":0.2251996071330199,"score_spread":0.21819177845127286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405852028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57822156,0.36627153,0.027064517,0.0008222868,0.00019494028,0.00015371594,0.018658064,0.0005362203,0.008077197],"genre_scores_gemma":[0.60265595,0.27252454,0.05823956,0.0012019845,0.00025627264,0.00027094453,0.055054225,0.00021921602,0.009577379],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999068,0.000006656784,0.000009585147,0.00004058361,0.00002336995,0.000013079047],"domain_scores_gemma":[0.9998752,0.000018153763,0.00004427999,0.000008903743,0.000036346624,0.00001718069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019556949,0.0005484392,0.00058540463,0.0006773366,0.0001543332,0.00032218668,0.00023234876,0.0002502705,0.00060884346],"category_scores_gemma":[0.00017583928,0.00019350521,0.0006569063,0.0009199594,0.00014992616,0.00032484965,0.00028832786,0.00038960998,0.00052781566],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001925707,0.000020284264,0.0058013806,0.0028224061,0.00011502409,0.00051113893,0.00016739321,0.00033547214,0.91072303,0.00026074026,0.0013699245,0.077680655],"study_design_scores_gemma":[0.00010425199,0.001002044,0.41645384,0.0011114693,0.0024875298,0.00821754,0.0008102936,0.0026252652,0.24672788,0.0013728867,0.3189239,0.00016306316],"about_ca_topic_score_codex":0.0013464418,"about_ca_topic_score_gemma":0.0016252177,"teacher_disagreement_score":0.0013464418,"about_ca_system_score_codex":0.00023098038,"about_ca_system_score_gemma":0.0006125861,"threshold_uncertainty_score":0.0026772618},"labels":[],"label_agreement":null},{"id":"W4405852032","doi":"10.5376/gab.2024.15.0032","title":"Physiological Responses and Variety Screening for Drought Tolerance in Soybeans During Flowering and Podding","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Drought tolerance; Variety (cybernetics); Biology; Agronomy; Computer science; Artificial intelligence","score_opus":0.02476504956688361,"score_gpt":0.2369172442087092,"score_spread":0.21215219464182558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405852032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936964,0.0006752267,0.0031410123,0.000049581642,0.000016617958,0.000044757966,0.0014012101,0.00008978598,0.00088545296],"genre_scores_gemma":[0.9853711,0.00060757244,0.008077726,0.000080494836,0.000010310091,0.000069060465,0.0039962884,0.00005763041,0.0017297997],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99983203,0.000024351308,0.00002389138,0.00006515107,0.00003292417,0.000021727745],"domain_scores_gemma":[0.9997949,0.00003641924,0.00006725376,0.000021390439,0.000026935297,0.00005319946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031679642,0.00027478745,0.00030852566,0.0007510154,0.0002639634,0.00025455412,0.00018178155,0.0002173775,0.0007527041],"category_scores_gemma":[0.00022188513,0.00018044664,0.00037168578,0.00048228644,0.00015887328,0.00018946687,0.00028587776,0.00041774203,0.00021387124],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007049795,0.00001225204,0.002969758,0.000024610039,0.000004274227,0.0000400538,0.000040722483,0.000016575315,0.99552983,0.000012768798,0.000011930922,0.0012667231],"study_design_scores_gemma":[0.000024020475,0.0015254156,0.6265511,0.00001559433,0.0001011762,0.0012932621,0.00048033582,0.0006769403,0.36588383,0.00012088908,0.003290211,0.00003723673],"about_ca_topic_score_codex":0.0013134548,"about_ca_topic_score_gemma":0.0028518646,"teacher_disagreement_score":0.0013134548,"about_ca_system_score_codex":0.000247868,"about_ca_system_score_gemma":0.00016793705,"threshold_uncertainty_score":0.0026115775},"labels":[],"label_agreement":null},{"id":"W4416443111","doi":"10.5376/gab.2025.16.0006","title":"Comparative Analysis of Male and Female Tilapia Gonadal Transcriptomes","year":2025,"lang":"","type":"article","venue":"Genomics and Applied Biology","topic":"Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transcriptome; Gonad; Tilapia; Gene; Development of the gonads; Gene expression; Gene regulatory network; Gamete","score_opus":0.012998145578468403,"score_gpt":0.27569496376808666,"score_spread":0.26269681818961826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416443111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97959125,0.001964993,0.010728801,0.00008325876,0.000035338566,0.000027303937,0.0031178952,0.00009919116,0.0043519987],"genre_scores_gemma":[0.9847258,0.0010457302,0.006024038,0.00010678407,0.000014463275,0.000041728843,0.003886104,0.00004235268,0.004113047],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994624,0.000003888212,0.0000031046131,0.00002389981,0.00001135211,0.000011506515],"domain_scores_gemma":[0.99996054,0.0000073386286,0.00000913802,0.000004046469,0.00000981473,0.00000910545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008399484,0.00010319085,0.00014079956,0.0002613971,0.00017945284,0.00020407974,0.00005237914,0.00008741968,0.00095768756],"category_scores_gemma":[0.00010119679,0.000059617494,0.0002586971,0.00018683313,0.00010474605,0.0001345267,0.00017800124,0.00013430267,0.00020038034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102700695,0.000004926418,0.005259698,0.00007123822,0.000015153697,0.00010755952,0.00010724109,0.00010724579,0.9833698,0.0001915661,0.00008403805,0.010578916],"study_design_scores_gemma":[0.000017417158,0.00041364136,0.67343557,0.000040384533,0.00020070201,0.0013954472,0.0009299819,0.003733871,0.2994382,0.0010749841,0.019280693,0.000038977163],"about_ca_topic_score_codex":0.0008221176,"about_ca_topic_score_gemma":0.0017229051,"teacher_disagreement_score":0.00095768756,"about_ca_system_score_codex":0.0001253717,"about_ca_system_score_gemma":0.00023561923,"threshold_uncertainty_score":0.0032038093},"labels":[],"label_agreement":null},{"id":"W4416443118","doi":"10.5376/gab.2025.16.0009","title":"Unraveling the Genetic Basis of Fruit Quality in Kiwifruit: Insights from Genomic Studies","year":2025,"lang":"","type":"article","venue":"Genomics and Applied Biology","topic":"Postharvest Quality and Shelf Life Management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Trait; Quantitative trait locus; Quality (philosophy); Genomics; Genomic selection","score_opus":0.05714757590304941,"score_gpt":0.29658597378427864,"score_spread":0.23943839788122923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416443118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98049104,0.0064940066,0.009721192,0.00029108976,0.000013759989,0.000028131532,0.0010763293,0.00005948248,0.0018248977],"genre_scores_gemma":[0.98168004,0.005601315,0.009481221,0.0001285689,0.000014185015,0.00001726628,0.0018367544,0.000025626729,0.0012151256],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993515,0.0000054504203,0.000004185164,0.000029837727,0.000015048863,0.000010343317],"domain_scores_gemma":[0.9998839,0.000027154356,0.000035417306,0.000011066906,0.000024661236,0.000017821614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000206823,0.00034909896,0.00028555523,0.0007093036,0.00022341318,0.0004227323,0.00021646044,0.0002623401,0.0006137584],"category_scores_gemma":[0.0001757273,0.00013680905,0.00032368882,0.00061929127,0.0002076151,0.0003528513,0.00032190268,0.00039613916,0.00012766675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016821804,0.000037779082,0.017457156,0.00030905852,0.00011617803,0.0004700575,0.00034089715,0.00048195623,0.9489043,0.0009813345,0.000089708505,0.030643418],"study_design_scores_gemma":[0.000024178555,0.00024691047,0.8685521,0.00010757504,0.0005220372,0.0017505545,0.0007064912,0.006187096,0.10166141,0.0022440213,0.017923892,0.00007375959],"about_ca_topic_score_codex":0.004547558,"about_ca_topic_score_gemma":0.0077503026,"teacher_disagreement_score":0.004547558,"about_ca_system_score_codex":0.0003177059,"about_ca_system_score_gemma":0.00029037395,"threshold_uncertainty_score":0.009042203},"labels":[],"label_agreement":null},{"id":"W4416443124","doi":"10.5376/gab.2025.16.0005","title":"Genome Polyploidization and Adaptive Evolution in Yellow Pitaya: The Impact of Gene Amplification on Stress Resistance","year":2025,"lang":"","type":"article","venue":"Genomics and Applied Biology","topic":"Botanical Research and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gene; Genome; Gene duplication; Adaptability; Adaptation (eye); Gene expression; Mechanism (biology); Gene dosage","score_opus":0.018563963412998485,"score_gpt":0.268449645828671,"score_spread":0.2498856824156725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416443124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99460936,0.0008653391,0.0036884905,0.00008342208,0.000009544774,0.000010403785,0.00008664973,0.00003964436,0.0006070767],"genre_scores_gemma":[0.9971878,0.0004395369,0.001293743,0.00004631722,0.0000048503725,0.00001212211,0.00018078272,0.000016096847,0.0008186539],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999268,0.0000081987755,0.0000072112693,0.00002939277,0.00001493912,0.000013521324],"domain_scores_gemma":[0.999889,0.000022303471,0.000037291527,0.000014015378,0.000011847046,0.000025527832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013914761,0.00018830178,0.00017359859,0.0003325469,0.0002026327,0.00031310768,0.0001723936,0.00024815247,0.0006364644],"category_scores_gemma":[0.00019444124,0.00012020042,0.0002564689,0.00021622673,0.00018570463,0.000422211,0.00043828678,0.00038559464,0.00009060951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007072659,0.000016971017,0.006310256,0.000053556232,0.000013889488,0.00037247827,0.00013687834,0.00021346526,0.9858132,0.00037516485,0.00002495087,0.006598502],"study_design_scores_gemma":[0.00008377059,0.00076909683,0.5387941,0.000047050235,0.0002538113,0.0060787126,0.0009387826,0.020512287,0.41659024,0.0034517527,0.012389955,0.000090399146],"about_ca_topic_score_codex":0.00068199186,"about_ca_topic_score_gemma":0.00061076344,"teacher_disagreement_score":0.00068199186,"about_ca_system_score_codex":0.00033216507,"about_ca_system_score_gemma":0.00019994959,"threshold_uncertainty_score":0.0024099946},"labels":[],"label_agreement":null},{"id":"W4416443125","doi":"10.5376/gab.2025.16.0004","title":"Phylogenetic Position of Durian and Comparative Genomics with Close Relatives in Malvaceae","year":2025,"lang":"","type":"article","venue":"Genomics and Applied Biology","topic":"Cocoa and Sweet Potato Agronomy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Phylogenetic tree; Malvaceae; Genome; Comparative genomics; Genomics; Gene family; Gene","score_opus":0.013739951317252324,"score_gpt":0.22132959316871806,"score_spread":0.20758964185146572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416443125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853587,0.00949378,0.0018124597,0.00010735841,0.000019273415,0.0000125456,0.0005412716,0.00005397476,0.0026006906],"genre_scores_gemma":[0.99182105,0.0026943805,0.0023021963,0.00006177078,0.000020242012,0.000011532231,0.0020711734,0.00002030204,0.0009974268],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985945,0.00001563421,0.000010135974,0.00006486266,0.000020442101,0.000029423181],"domain_scores_gemma":[0.9998117,0.000035673114,0.000064322354,0.000012733003,0.000029201196,0.00004631106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013184408,0.00029382322,0.00031611818,0.0016686574,0.0007564134,0.00058594445,0.00026864363,0.00026658716,0.0010735344],"category_scores_gemma":[0.0002606085,0.0000966413,0.0003205017,0.0017051754,0.0002833758,0.0005886096,0.00049592106,0.00036448703,0.00026104593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011158825,0.000080675076,0.113036655,0.0010870222,0.00019022603,0.0028325452,0.0066668848,0.00090350205,0.77356774,0.0018995402,0.0004570029,0.09816228],"study_design_scores_gemma":[0.0000187103,0.00025282934,0.89736426,0.00015233294,0.00021468685,0.004071545,0.0032397034,0.0015277631,0.01672907,0.00073132507,0.075645186,0.00005255857],"about_ca_topic_score_codex":0.0026673807,"about_ca_topic_score_gemma":0.0030165466,"teacher_disagreement_score":0.0026673807,"about_ca_system_score_codex":0.00046130148,"about_ca_system_score_gemma":0.00019586005,"threshold_uncertainty_score":0.005303681},"labels":[],"label_agreement":null},{"id":"W4416443126","doi":"10.5376/gab.2025.16.0008","title":"Genomic Insights into Hypoxia Tolerance Mechanisms in Channa spp.","year":2025,"lang":"","type":"article","venue":"Genomics and Applied Biology","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transcriptome; Gene; Hypoxia (environmental); Genome; Heat shock protein; Gene expression; Genomic information","score_opus":0.009674259113879109,"score_gpt":0.20758219175375334,"score_spread":0.19790793263987422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416443126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98779106,0.0014909061,0.0037688948,0.00020310955,0.000029989646,0.000022688766,0.0048158006,0.0001363011,0.0017412123],"genre_scores_gemma":[0.9785162,0.001432194,0.0047801826,0.00017885455,0.000024102319,0.00006265316,0.011568204,0.000042555923,0.0033950454],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999918,0.000005117238,0.0000089837395,0.000034912195,0.000010700552,0.0000222634],"domain_scores_gemma":[0.99989116,0.000022189632,0.00003297573,0.000010999362,0.000020219619,0.000022345122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009290226,0.00034018685,0.00023647737,0.001010156,0.00044681728,0.00041558605,0.00017563216,0.0002423816,0.0015116006],"category_scores_gemma":[0.00017694141,0.00021837966,0.0004578446,0.0010443665,0.0002113817,0.0004846922,0.00069519173,0.00034097064,0.00035291992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047050434,0.00003433573,0.017971944,0.000451911,0.000040298306,0.00059501856,0.0008323969,0.0006634656,0.95861274,0.0005844917,0.00020315574,0.019539794],"study_design_scores_gemma":[0.000049502858,0.00063361786,0.8391765,0.00013762312,0.00044606908,0.0018677294,0.0031086134,0.002267139,0.119603544,0.002688453,0.0299011,0.000120111676],"about_ca_topic_score_codex":0.0021285373,"about_ca_topic_score_gemma":0.0020300497,"teacher_disagreement_score":0.0021285373,"about_ca_system_score_codex":0.0003928667,"about_ca_system_score_gemma":0.0005989173,"threshold_uncertainty_score":0.0050567985},"labels":[],"label_agreement":null},{"id":"W4416443127","doi":"10.5376/gab.2025.16.0010","title":"CRISPR/Cas9 Applications in Ganoderma lucidum Breeding for Enhanced Bioactive Compound Production","year":2025,"lang":"","type":"article","venue":"Genomics and Applied Biology","topic":"Fungal Biology and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ganoderma lucidum; Bottleneck; Genome editing; Production (economics); Ganoderma; Key (lock)","score_opus":0.01615903061474404,"score_gpt":0.2983100516902529,"score_spread":0.2821510210755088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416443127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47967833,0.042383943,0.40597647,0.0038634625,0.0012031569,0.00086154585,0.0025107984,0.0086164335,0.05490589],"genre_scores_gemma":[0.7976743,0.016128121,0.16737795,0.000789685,0.000095043855,0.00023780788,0.0013946282,0.00044409596,0.015858246],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953914,0.000075720774,0.000040197432,0.000114252216,0.00016394118,0.00006682812],"domain_scores_gemma":[0.9998568,0.00003493677,0.000037796985,0.000022995056,0.000025146785,0.000022281622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004228792,0.00059427513,0.00047708012,0.00046927165,0.0002355453,0.0010409579,0.00044059934,0.00064171536,0.0015379209],"category_scores_gemma":[0.0002903446,0.0002573696,0.0007101464,0.0003892478,0.0003218447,0.000543472,0.000669696,0.0011692597,0.0011647114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000924274,0.000035257366,0.00023004091,0.00031825947,0.000016254444,0.00034305168,0.000059426697,0.00084249984,0.96524954,0.0016924901,0.00046263088,0.030658241],"study_design_scores_gemma":[0.000021966931,0.0003394481,0.001204528,0.00005505086,0.00005908698,0.00079927035,0.000060595,0.0038020303,0.9447839,0.0007366869,0.048097692,0.000039648774],"about_ca_topic_score_codex":0.0007105522,"about_ca_topic_score_gemma":0.0009667497,"teacher_disagreement_score":0.0015379209,"about_ca_system_score_codex":0.00049130165,"about_ca_system_score_gemma":0.0004196009,"threshold_uncertainty_score":0.0051448345},"labels":[],"label_agreement":null},{"id":"W4416443128","doi":"10.5376/gab.2025.16.0002","title":"Genomic and Transcriptomic Analysis of Disease Resistance in Sheep","year":2025,"lang":"","type":"article","venue":"Genomics and Applied Biology","topic":"Helminth infection and control","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gene; Transcriptome; Disease; Immune system; Candidate gene; Identification (biology); Plant disease resistance; Disease gene identification","score_opus":0.012473097056027104,"score_gpt":0.26481286842686536,"score_spread":0.25233977137083824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416443128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99077046,0.0019029321,0.0017622539,0.000083768144,0.000016028343,0.000022383882,0.0046143257,0.000023931796,0.0008039004],"genre_scores_gemma":[0.98132944,0.0014366704,0.0040475805,0.00017462282,0.000028265946,0.00007313932,0.010931896,0.000022317552,0.0019560205],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998778,0.000013643467,0.00000850586,0.000051892017,0.000025679128,0.000022530385],"domain_scores_gemma":[0.99987686,0.000033175435,0.000041868065,0.0000070483175,0.00002350311,0.000017642778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013360678,0.00013260005,0.0003045982,0.00066163944,0.00018603783,0.0002836361,0.00006957111,0.00023416596,0.00063830387],"category_scores_gemma":[0.00023898245,0.000092001435,0.00030677786,0.000565228,0.00014242779,0.000120163284,0.00020065949,0.00023210298,0.00022449277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025474367,0.000013123621,0.013516511,0.00015554819,0.000037145262,0.00024211222,0.00011278694,0.00010239404,0.9812998,0.00005448842,0.00009525361,0.0041159973],"study_design_scores_gemma":[0.000025624895,0.0004678572,0.9499121,0.000053338812,0.00020512853,0.0015141704,0.00059335894,0.00179045,0.038626846,0.00039786423,0.0063909353,0.000022355931],"about_ca_topic_score_codex":0.00059546094,"about_ca_topic_score_gemma":0.0008354743,"teacher_disagreement_score":0.00066163944,"about_ca_system_score_codex":0.00010079605,"about_ca_system_score_gemma":0.00013997576,"threshold_uncertainty_score":0.0021353364},"labels":[],"label_agreement":null},{"id":"W4416443132","doi":"10.5376/gab.2025.16.0007","title":"Phylogenomic Insights into the Origin and Dispersal of Domesticated Chickens","year":2025,"lang":"","type":"article","venue":"Genomics and Applied Biology","topic":"Livestock and Poultry Management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Domestication; Biological dispersal; Phylogenetic tree; Genomics; Genetic diversity; Adaptation (eye); Range (aeronautics)","score_opus":0.010012916643194028,"score_gpt":0.22404191647178973,"score_spread":0.2140289998285957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416443132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99487394,0.0010542173,0.0023313488,0.00013560485,0.0000048048128,0.0000078997,0.00048989954,0.000007638586,0.0010946733],"genre_scores_gemma":[0.9960672,0.00078869367,0.0018026531,0.000063839114,0.000007938033,0.00000871509,0.0008845215,0.000010862056,0.0003654648],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979454,0.000044297452,0.000016303335,0.00007838889,0.000020692733,0.000045717294],"domain_scores_gemma":[0.9996749,0.000088165805,0.00011047549,0.000028112217,0.000050403276,0.00004797654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043285592,0.00018961288,0.0002597049,0.0021096668,0.000486108,0.0005804421,0.00021921682,0.0003055752,0.0010323884],"category_scores_gemma":[0.0005887839,0.00016231752,0.00041324875,0.0017115462,0.000326344,0.0005510915,0.00041697797,0.00041722012,0.00019106914],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046323022,0.00008773894,0.6900726,0.0003202548,0.00054529106,0.0012685708,0.005210804,0.00220568,0.24758634,0.0038294424,0.0005005065,0.047909547],"study_design_scores_gemma":[0.0000050797817,0.00003609434,0.9909787,0.000046617028,0.000113172544,0.00035455864,0.0015545547,0.0027145224,0.001109391,0.0009256027,0.002148264,0.000013488268],"about_ca_topic_score_codex":0.0023396772,"about_ca_topic_score_gemma":0.0039493344,"teacher_disagreement_score":0.0023396772,"about_ca_system_score_codex":0.00027120943,"about_ca_system_score_gemma":0.00024152116,"threshold_uncertainty_score":0.004652083},"labels":[],"label_agreement":null},{"id":"W4416443133","doi":"10.5376/gab.2025.16.0003","title":"Genomic Studies of Achyranthes bidentata: Understanding Its Medicinal Potential and Evolutionary Traits","year":2025,"lang":"","type":"article","venue":"Genomics and Applied Biology","topic":"Microbial Metabolites in Food Biotechnology","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Phylogenetic tree; Medicinal plants; Identification (biology); Gene; Genome; Phylogenetics","score_opus":0.041193876385287403,"score_gpt":0.29816779158947154,"score_spread":0.2569739152041841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416443133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97446793,0.008735268,0.010701078,0.0004179664,0.000031104097,0.000063825355,0.002332239,0.00008132686,0.0031691852],"genre_scores_gemma":[0.9691181,0.005649355,0.017194515,0.00023443565,0.000044046927,0.000053276766,0.005276639,0.00003140066,0.0023982443],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998872,0.000012967214,0.000007838923,0.00005548336,0.000019124425,0.00001740804],"domain_scores_gemma":[0.9997812,0.000060562223,0.00006725213,0.000024294723,0.000034141478,0.000032598946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025732323,0.00029177647,0.00040854444,0.0011218864,0.0003405498,0.00048175143,0.00025108934,0.00038764477,0.0010245807],"category_scores_gemma":[0.0002506024,0.00014514707,0.000487041,0.0011622998,0.0002158506,0.00059545186,0.0004859614,0.000531575,0.00031840426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002126645,0.000036105637,0.00498548,0.00030053547,0.000038826158,0.00038349748,0.00034997571,0.00038826882,0.9649581,0.0005166244,0.000049459908,0.02778052],"study_design_scores_gemma":[0.00008514523,0.0008835159,0.7808034,0.00017413245,0.0005386587,0.0073606777,0.0024409087,0.0047145393,0.12387467,0.0036465668,0.07535185,0.00012590732],"about_ca_topic_score_codex":0.0012231097,"about_ca_topic_score_gemma":0.0015675499,"teacher_disagreement_score":0.0012231097,"about_ca_system_score_codex":0.00026451133,"about_ca_system_score_gemma":0.00024935114,"threshold_uncertainty_score":0.003427565},"labels":[],"label_agreement":null},{"id":"W4416443135","doi":"10.5376/gab.2025.16.0001","title":"Research Insights into the Genetic Regulation of Root Architecture in Sweet Potato","year":2025,"lang":"","type":"article","venue":"Genomics and Applied Biology","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gene; Transcription factor; Transcriptional regulation; Auxin; Regulation of gene expression; Transcription (linguistics); Fight-or-flight response","score_opus":0.017402789655668063,"score_gpt":0.269871048006352,"score_spread":0.2524682583506839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416443135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9606584,0.009330005,0.023566406,0.0003440103,0.000055408178,0.000022650473,0.0015011273,0.0003400555,0.0041820263],"genre_scores_gemma":[0.978585,0.0063519096,0.009490977,0.00019088812,0.000018612996,0.000036898575,0.0016413949,0.000105437146,0.0035787858],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998822,0.000010857338,0.0000110804585,0.000057084028,0.000023063065,0.000015711785],"domain_scores_gemma":[0.99989796,0.000020872565,0.000030719595,0.000016583488,0.000017047443,0.00001680406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021700787,0.00031860467,0.00029301422,0.00046842938,0.00016789367,0.00037951043,0.00018216432,0.00023851487,0.0009245063],"category_scores_gemma":[0.00011834579,0.00021359287,0.00028482437,0.0003311356,0.00020826442,0.0003576405,0.00040812267,0.00059034006,0.0002755614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002660974,0.0000030305591,0.00052081037,0.00005535663,0.000005572776,0.000073764684,0.000026924332,0.00012882221,0.99551916,0.0003775882,0.00002435988,0.003237925],"study_design_scores_gemma":[0.00003881991,0.0003615787,0.19761157,0.00012399293,0.00025449533,0.0019653745,0.00080763525,0.008785718,0.736693,0.0050800475,0.048195094,0.00008261521],"about_ca_topic_score_codex":0.0005297367,"about_ca_topic_score_gemma":0.0010426,"teacher_disagreement_score":0.0009245063,"about_ca_system_score_codex":0.000250802,"about_ca_system_score_gemma":0.00026298696,"threshold_uncertainty_score":0.0030927658},"labels":[],"label_agreement":null}]}